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All Journal Jurnal Pendidikan Vokasi Jurnal Pendidikan Teknologi dan Kejuruan Voteteknika (Vocational Teknik Elektronika dan Informatika) JTEV (Jurnal Teknik Elektro dan Vokasional Jurnal Pendidikan Indonesia Proceeding of the Electrical Engineering Computer Science and Informatics JURNAL KEPEMIMPINAN DAN PENGURUSAN SEKOLAH JOIV : International Journal on Informatics Visualization Al Ishlah Jurnal Pendidikan Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Jurnal Penelitian Pendidikan IPA (JPPIPA) ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JURNAL PENDIDIKAN TAMBUSAI Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JTP - Jurnal Teknologi Pendidikan Jurnal Teknologi Informasi dan Pendidikan PAKAR Pendidikan Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat INCARE Journal of Innovation in Educational and Cultural Research Jurnal Pengabdian UNDIKMA Jurnal Vokasi Informatika (JAVIT) Abdimas Indonesian Journal Malcom: Indonesian Journal of Machine Learning and Computer Science Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Teknik Komputer dan Informatika (JTeKI) Jurnal Informatika: Jurnal Pengembangan IT Journal of Innovative and Creativity Journal of Authentic Research The Indonesian Journal of Computer Science HUMANIORASAINS Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Akademika Dinasti Information and Technology Menulis: Jurnal Penelitian Nusantara
Yeka Hendriyani
Universitas Negeri Padang
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The Effectiveness of Augmented Reality-Based Simulation Media for Fiber Optic Splicing in Vocational Network Technology Education Annisa Saputri; Ta’ali Ta’ali; Giatman Giatman; Yeka Hendriyani
Jurnal Penelitian Pendidikan IPA Vol 12 No 2 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i2.11448

Abstract

This study aimed to develop and evaluate an Augmented Reality (AR)-based simulation media for teaching fiber optic splicing in vocational network technology education. Using a Research and Development (R&D) approach with the 4D model (Define, Design, Develop, Disseminate), the product was validated by experts and tested for practicality and effectiveness through a one-group pretest–posttest design. The media obtained high validity scores (Aiken’s V = 0.85 for media and 0.97 for material), was categorized as very practical by teachers (98.31%) and students (89.52%) and showed significant improvement in learning outcomes (N-gain = 0.7115; p < 0.05). Unlike previous AR studies that mainly focus on conceptual science learning, this research integrates procedural vocational skills simulation with mobile-based AR to address limited access to expensive splicing equipment. The findings indicate that AR-based simulation can effectively enhance students’ procedural understanding and support technology-integrated vocational pedagogy
Evaluating the Flipped Classroom for Enhancing Student Collaboration: A Systematic Literature Review Mhd Arya Dhaifullah; Resmi Darni; Yeka Hendriyani; M Giatman
AL-ISHLAH: Jurnal Pendidikan Vol 18, No 1 (2026): MARCH 2026
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v18i1.8536

Abstract

The flipped classroom (FC) model has gained prominence in higher education, yet its effectiveness in fostering student collaboration remains inconclusive. This study systematically reviews existing literature to examine how FC implementation influences collaborative learning outcomes. A systematic literature review was conducted following the PRISMA framework. Ten empirical studies published between 2015 and 2023 were selected based on predefined inclusion criteria. The studies were analyzed with a focus on instructional design, assessment alignment, and the operationalization of collaboration. The findings reveal that while FC approaches are widely adopted, their impact on collaboration varies considerably. Studies that explicitly structured collaborative roles and aligned collaboration with assessment practices reported stronger outcomes. In contrast, studies that treated collaboration implicitly or descriptively demonstrated weaker or inconsistent results. Additionally, collaboration was often insufficiently defined or measured as a primary learning outcome. The review identifies significant gaps in the literature, including limited conceptualization and measurement of collaboration, as well as a lack of longitudinal and discipline-specific research, particularly in Informatics Engineering. These findings suggest that FC environments do not inherently enhance collaboration. More rigorous research designs that explicitly integrate and assess collaboration are needed to better understand and optimize its role within flipped learning contexts.
Pengaruh Penerapan Aplikasi Google Classroom Terhadap Motivasi Belajar, Minat Belajar dan Hasil Belajar Peserta Didik Pada Mata Pelajaran Prakarya dan Kewirausahaan Ponimin, Ponimin; Mukhaiyar, Riki; Hendriyani, Yeka; Maksum, Hasan
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3293

Abstract

Kemajuan teknologi di era modern ini memberikan kesempatan kepada guru untuk mengembangkan kemampuannya dalam penggunaan media dan bahan ajar. Mengubah paradigma yang digunakan oleh instruktur dalam melaksanakan proses pembelajaran di sekolah sangat penting untuk menyelaraskan proses modernisasi dan kualitas pembelajaran. Saat ini, guru juga harus mahir dalam menggunakan dan mengoperasikan teknologi informasi sehingga mereka dapat menggunakannya untuk meningkatkan pembelajaran di kelas. Pengetahuan kewirausahaan ditemukan dalam mata pelajaran seperti kerajinan dan kewirausahaan, antusiasme yang besar untuk memahaminya. Oleh karena itu, media pembelajaran perlu didukung dengan media yang dapat digunakan dalam pembelajaran kerajinan dan kewirausahaan. Penelitian dilakukan sebagai upaya untuk mengetahui pengaruh Google Classroom terhadap motivasi belajar, minat belajar dan hasil belajar peserta didik, kemudian Penelitian dilaksanakan di SMK Negeri 1 Tualang Kecamatan Tualang Kabupaten Siak dengan subjek penelitian siswa kelas XI yang berjumlah 95 peserta didik. Data dikatakan valid dan reliabel pada pengaruh Google Classroom terhadap motivasi belajar, minat belajar dan hasil belajar peserta didik. Sedangkan hasil penelitian melalui kuesioner dengan jumlah responden sebanyak 33 orang diperoleh data variabel Google Classroom dengan skor sebesar 40. Sedangkan hasil perhitungan Mean yaitu 33,18, Median adalah 33, dan Modus berjumlah 29. Dari hasil tersebut maka dapat disimpulkan bahwa kecenderungan penggunaan Google Classroom berbanding lurus dengan skor yang diperoleh. diketahui bahwa tanggapan responden tentang Minat belajar sebelum pembelajaran, dimana dari 33 responden yaitu 21 responden atau sebanyak 63,6% responden menyatakan sangat setuju, 12 responden atau sebanyak 36,4%.Hal ini ditunjukkan menggunakan regresi linear berganda diperoleh nilai r 0.847, Nilai Adjusted R2 sebesar 0.688, dan nilai thitung ttabel (2,357 2,045) dengan signifikansi 0.025 (pengujian dua sisi), Penggunaan Google Classroom berpengaruh positif terhadap hasil belajar peserta didik pada mata pelajaran prakarya dan kewirausahaan menggunakan regresi logistik ordinal diperoleh nilai R2 (Nagelkerke) sebesar 0.746, dan nilai estimate sebesar 0.892 yang dieksponensialkan menjadi 2.44 dengan signifikansi 0.016 0.05. Pada penggunaan Google Classroom maka akan semakin baik motivasi belajar dan minat pula hasil belajar peserta didik pada mata pelajaran prakarya dan kewirausahaan kelas XI di SMK Negeri 1 Tualang Kabupaten Siak.
Development of a Local Area Network with Netsupport in Learning in a Computer Laboratory Putra, La Ode Alwin Syahputra; Effendi, Hansi; Hendriyani, Yeka; Ambiyar
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3327

Abstract

Technological developments are increasingly advanced so as to increase the use of computer laboratories in higher education, especially in the learning process. However, this is not matched by the completeness of adequate infrastructure, which causes problems when using the laboratory. This study aims to develop and update a local area network with net support for learning in computer labs 5 and 6. This research uses the network development life cycle (NDLC) method. Data collected by questionnaire technique. The results of this study indicate that the validator test assessment from the innovation aspect of the IT infrastructure component is 89.17% so that the level of validity can be interpreted as valid in use, from the information system aspect it is 93.55%, so it can be interpreted as valid in use, practicality (group A) practicality test of 92.60%, so that it can be interpreted as practical to use, practicality (group B) practicality test is 94%, so the level of practicality can be interpreted as practical to use, practicality (Lecturer) practicality test is 95.23%, so that the practicality level can be interpreted as practical used, the effectiveness (group A) of the effectiveness test was 94.55%, so that the level of effectiveness could be interpreted as effectively used, the effectiveness (group B) of the effectiveness test was 93.70%, so the level of effectiveness could be interpreted as effectively used, effectiveness (labor assistant ) effectiveness test of 93.58%, so that the level of effectiveness can be interpreted as effectively used. So that it can be concluded that the development of a local area network network with netsupport in computer laboratory learning is feasible to use.
Decision Support System for Determining the Best Online Learning Application Using the Weighted Product Method (WPM) Yeka Hendriyani; Mariani; Rahmatika, Hayati; Akbar Ilahi; Hardeyenti, Dessy
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3352

Abstract

This article discusses the use of the Weighted Product (WP) Method in a Decision Support System to determine the best online learning application. The goal is to help users choose a learning app that suits their needs and preferences. Relevant criteria, such as user interface, learning content, interactive features, difficulty level, and subscription price, are identified and assigned relative weights. This study uses data from various online learning apps to train the WP model and rank the apps based on the highest scores. The experimental results show that the WP method successfully identifies the best online learning apps with high accuracy, allowing users to have an effective and efficient learning experience according to their individual goals. Thus, this SDM can be an effective guide for users in making informed decisions to meet their education and learning needs
RANCANGAN BANGUN SISTEM INFORMASI PEMESANAN DAN PENJADWALAN TOUR GUIDE BERBASIS WEBSITE DENGAN ALGORITMA FIRST-COME-FIRST-SERVED Maulana Ihsan; Yulia Fatmi; Yeka Hendriyani; Resmidarni Resmidarni
Jurnal Kepemimpinan dan Pengurusan Sekolah Vol. 11 No. 2 (2026): Regular Issue (In Progress)
Publisher : STKIP Pesisir Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34125/jkps.v11i2.2139

Abstract

The purpose of this study is to design and develop a web-based information system for booking and scheduling Tour guide services that can effectively, efficiently, and systematically facilitate the online reservation process for tourists. The system uses the First-Come-First-Served (FCFS) algorithm to automatically manage the order of bookings and scheduling of Tour guides. It is also designed to present clear and transparent information regarding Tour guide service fees across several tourist destinations in Pesisir Selatan. The system development method used is the prototype method. This method enables direct interaction between developers and users during the development process, allowing system requirements to be understood more clearly and reducing the risk of specification errors. The prototype method applied consists of several main stages: communication, quick planning, modeling quick design, construction of prototype, and deployment and feedback. The results of this study show that the developed system is able to significantly improve the quality of tourism services. The system successfully integrates information on tourist destinations, tour guide services, and the booking process into a single platform that is easily accessible, interactive, and well-structured, thereby helping tourists plan their trips more effectively.
Perancangan Website E-Commerce untuk Toko Bunda dengan Pendekatan Metode Rapid Application Development Syarif, Zamir; Hendriyani, Yeka; Sriwahyuni, Titi; Dewi, Ika Parma
Journal of Authentic Research Vol. 5 No. 2 (2026): May
Publisher : LITPAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/zkm9yh28

Abstract

Perkembangan teknologi informasi mendorong usaha kecil dan menengah (UKM) untuk berinovasi melalui e-commerce guna memperluas jangkauan pasar yang sebelumnya terbatas pada area lokal. Toko Bunda menghadapi kendala pada sistem penjualan konvensional, yaitu pelanggan harus datang langsung untuk menanyakan ketersediaan barang, sementara pengolahan data penjualan dan pembuatan laporan masih dilakukan secara manual sehingga kurang efisien. Penelitian ini bertujuan untuk merancang dan membangun website e-commerce bagi Toko Bunda menggunakan metode Rapid Application Development (RAD). Tahapan penelitian meliputi analisis kebutuhan, perancangan sistem menggunakan Unified Modeling Language (UML), implementasi sistem, dan pengujian. Sistem dibangun menggunakan XAMPP, MySQL, dan phpMyAdmin dengan fitur utama berupa manajemen produk, keranjang belanja, checkout, konfirmasi pembayaran, data customer, dan laporan penjualan. Pengujian dilakukan menggunakan Black Box Testing terhadap 5 modul utama dengan 16 skenario uji, dan seluruh fungsi menunjukkan tingkat keberhasilan 100% sesuai spesifikasi kebutuhan. Uji coba terbatas pada 10 pengguna menunjukkan bahwa sistem mudah digunakan serta membantu proses pencarian produk dan transaksi secara lebih cepat dibandingkan dengan metode manual. Hasil penelitian menunjukkan bahwa website e-commerce yang dikembangkan mampu meningkatkan efisiensi pengelolaan data penjualan, mempermudah pelanggan dalam melakukan pemesanan secara mandiri, serta mendukung perluasan promosi produk melalui media digital. Dengan demikian, sistem ini dapat menjadi alternatif solusi transformasi digital bagi UKM dalam meningkatkan kualitas layanan dan daya saing usaha. The development of information technology encourages small and medium-sized enterprises (SMEs) to innovate through e-commerce to expand their market reach beyond local areas. Toko Bunda faces problems in its conventional sales system, where customers must visit the store directly to check product availability. In contrast, sales data processing and report generation are still carried out manually, resulting in low efficiency. This study aims to design and develop an e-commerce website for Toko Bunda using the Rapid Application Development (RAD) method. The research stages include requirements analysis, system design using Unified Modeling Language (UML), system implementation, and testing. The system was developed using XAMPP, MySQL, and phpMyAdmin, with main features including product management, shopping cart, checkout, payment confirmation, customer data, and sales reports. Testing was conducted using Black Box Testing on 5 main modules with 16 test scenarios, and all functions met system requirements, achieving a 100% success rate. A limited trial involving 10 users indicated that the system is easy to use and helps users search for products and complete transactions faster than the manual method. The results show that the developed e-commerce website can improve the efficiency of sales data management, facilitate independent customer ordering, and support wider product promotion through digital media. Therefore, this system can serve as an alternative digital transformation solution for SMEs to enhance service quality and business competitiveness.
Rancang Bangun Aplikasi Reservasi Wisata Air Terjun Lubuk Hitam Bungus dengan Penerapan Algoritma Neural Networks dan Fitur Barcode Digital Mahendra, Jimmy; Hendriyani, Yeka; Asmara, Delvi; Fatmi, Yulia
Journal of Authentic Research Vol. 5 No. 2 (2026): May
Publisher : LITPAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/2ap08p90

Abstract

Penelitian ini bertujuan untuk merancang dan membangun aplikasi reservasi wisata pada objek wisata Air Terjun Lubuk Hitam Bungus berbasis Android dengan memanfaatkan teknologi WebView sebagai solusi atas masih digunakannya sistem reservasi manual yang menyebabkan antrean panjang, kesalahan pencatatan data, dan keterbatasan pengelolaan informasi pengunjung. Aplikasi yang dikembangkan mengintegrasikan algoritma Neural Network sebagai modul analitik untuk memprediksi jumlah kunjungan wisatawan berdasarkan data historis serta fitur barcode digital sebagai media validasi tiket elektronik. Metode penelitian yang digunakan adalah Research and Development (R&D) dengan model pengembangan Waterfall yang meliputi analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Data prediksi menggunakan 36 data historis kunjungan periode Januari 2022–Desember 2024 yang diproses melalui tahap pembersihan data, normalisasi, pelatihan model, dan pengujian. Hasil penelitian menunjukkan bahwa aplikasi berhasil menyediakan fitur registrasi pengguna, pemesanan tiket daring, pembayaran, penerbitan e-ticket berbasis QR Code, dashboard admin, serta modul prediksi kunjungan. Pengujian Black Box Testing pada 9 fitur utama menunjukkan seluruh fungsi berjalan sesuai skenario uji dengan tingkat keberhasilan 100%. Evaluasi model prediksi menghasilkan Mean Absolute Error (MAE) sebesar 12,4 pengunjung, Mean Squared Error (MSE) sebesar 245,6, dan akurasi prediksi sebesar 87,3%. Uji usability terhadap 10 responden memperoleh nilai rata-rata 4,4 dari skala 5 yang menunjukkan aplikasi mudah digunakan dan diterima dengan baik. Implementasi sistem ini mengindikasikan bahwa digitalisasi layanan wisata berpotensi meningkatkan efisiensi reservasi, mempercepat validasi tiket, serta mendukung pengelolaan data kunjungan secara lebih terstruktur. Dengan demikian, aplikasi yang dikembangkan dapat menjadi alternatif solusi dalam mendukung transformasi digital sektor pariwisata menuju konsep smart tourism yang lebih efektif, adaptif, dan berbasis data. This study aims to design and develop a tourism reservation application for the Lubuk Hitam Bungus Waterfall tourist attraction based on Android by utilizing WebView technology as a solution to the continued use of manual reservation systems that cause long queues, data recording errors, and limitations in managing visitor information. The developed application integrates a Neural Network algorithm as an analytical module to predict tourist visit numbers based on historical data, as well as a digital barcode feature as an electronic ticket validation medium. The research method used was Research and Development (R&D) with the Waterfall development model, which includes requirements analysis, system design, implementation, testing, and maintenance. Prediction data used 36 historical visitation records from January 2022 to December 2024, processed through data cleaning, normalization, model training, and testing stages. The results show that the application successfully provides user registration, online ticket booking, payment, QR Code-based e-ticket issuance, admin dashboard, and visit prediction modules. Black Box Testing on 9 main features showed that all functions operated according to test scenarios with a 100% success rate. Evaluation of the prediction model produced a Mean Absolute Error (MAE) of 12.4 visitors, a Mean Squared Error (MSE) of 245.6, and a prediction accuracy of 87.3%. Usability testing involving 10 respondents obtained an average score of 4.4 out of 5, indicating that the application is easy to use and well accepted by users. The implementation of this system indicates that the digitalization of tourism services has the potential to improve reservation efficiency, accelerate ticket validation, and support more structured visitor data management. Therefore, the developed application can serve as an alternative solution to support the digital transformation of the tourism sector toward a smarter, more adaptive, and data-driven smart tourism concept.
Perancangan Sistem Prediksi Pola Permintaan Layanan Internet FTTH Menggunakan Model LSTM Berbasis Web Putry, Shalshabila Shafa; Hendriyani, Yeka; Fatmi, Yulia; Syafrijon, Syafrijon
Journal of Authentic Research Vol. 5 No. 2 (2026): May
Publisher : LITPAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/tjm6wa36

Abstract

Penelitian ini bertujuan merancang sistem berbasis web untuk memprediksi pola permintaan layanan internet Fiber to the Home (FTTH) dengan memanfaatkan model Long Short-Term Memory (LSTM) sebagai komponen analitik. Permasalahan yang dihadapi penyedia layanan FTTH adalah fluktuasi permintaan antarwaktu dan antarwilayah yang berdampak pada perencanaan stok perangkat, penjadwalan pemasangan, dan pengembangan infrastruktur. Penelitian menggunakan pendekatan Cross Industry Standard Process for Data Mining (CRISP-DM) dengan data historis permintaan layanan FTTH periode 2022 sampai 2025 yang diagregasi menjadi data runtun waktu bulanan. Sistem dikembangkan menggunakan Python, Flask, dan SQLite, sedangkan model LSTM dikonfigurasi dengan dua layer, 50 unit neuron, optimizer Adam, dan 50 epoch. Hasil penelitian menunjukkan bahwa sistem mampu mengintegrasikan pengelolaan data pelanggan, proses prediksi, visualisasi tren, dan rekomendasi kebutuhan stok dalam satu platform. Pada evaluasi awal, nilai loss pelatihan menurun dari 0.8541 menjadi 0.0064, sedangkan evaluasi prediksi menghasilkan Mean Absolute Error sebesar 32.43 dan Root Mean Squared Error sebesar 32.68. Temuan ini menunjukkan bahwa model telah mampu mengikuti pola umum permintaan pada data yang digunakan, tetapi kinerja operasionalnya masih perlu divalidasi lebih lanjut melalui pembandingan dengan model baseline, skema evaluasi time-series yang lebih ketat, dan konteks volume permintaan per wilayah. Kontribusi utama penelitian ini terletak pada integrasi hasil prediksi ke dalam sistem operasional FTTH berbasis web, bukan pada pengusulan arsitektur LSTM baru. This study aimed to design a web-based system to predict Fiber to the Home (FTTH) internet service demand patterns using a Long Short-Term Memory (LSTM) model as the analytical component. The main challenge faced by FTTH providers is the fluctuation of demand across time periods and service areas, which affects equipment stock planning, installation scheduling, and infrastructure expansion. The study adopted the Cross Industry Standard Process for Data Mining (CRISP-DM) and used historical FTTH service demand data from 2022 to 2025, aggregated into monthly time-series data. The system was developed using Python, Flask, and SQLite, while the LSTM model was configured with two layers, 50 neurons, the Adam optimizer, and 50 epochs. The results show that the system integrates customer data management, prediction processes, trend visualization, and stock requirement recommendations within a single platform. In the initial evaluation, the training loss decreased from 0.8541 to 0.0064, while the prediction evaluation yielded a Mean Absolute Error of 32.43 and a Root Mean Squared Error of 32.68. These findings indicate that the model captured the general demand pattern in the available data, although its operational validity still requires further verification through baseline comparisons, stricter time-series evaluation schemes, and demand-scale context. The main contribution of this study lies in integrating forecasting outputs into an FTTH operational web system rather than proposing a new LSTM architecture.
Rancang Bangun Website Pengelolaan Arsip Inaktif Menggunakan Algoritma Rule-Based Berbasis Framework Laravel Fitrah, Zhulma; Zaus, Mahesi Agni; Hendriyani, Yeka; Aulia, Vikri
Journal of Authentic Research Vol. 5 No. 2 (2026): May
Publisher : LITPAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/x2v2e026

Abstract

Pengelolaan arsip inaktif di PT Pelabuhan Indonesia (Persero) Regional 2 Teluk Bayur masih dilakukan secara manual menggunakan spreadsheet, menyebabkan data tidak terpusat, penentuan retensi yang subjektif, serta lemahnya dokumentasi pemusnahan. Penelitian ini bertujuan merancang dan membangun sistem informasi pengelolaan arsip inaktif (ArsipIn) berbasis website dengan algoritma rule-based untuk mengotomatisasi penentuan status retensi sesuai Jadwal Retensi Arsip (JRA). Metode pengembangan yang digunakan adalah System Development Life Cycle (SDLC) Waterfall, meliputi analisis kebutuhan, desain sistem, implementasi menggunakan framework Laravel dan database Supabase, serta pengujian. Algoritma rule-based diimplementasikan dengan logika IF-THEN berdasarkan enam jenis arsip (Surat Undangan hingga Dokumen Penting). Pengujian Black Box mencakup 40 skenario fungsional, dengan hasil 100% sesuai harapan. UAT melibatkan 5 responden staf arsip, dengan rata-rata skor 4,8 dari 5. Sistem mampu memberikan rekomendasi retensi secara otomatis dan menghasilkan laporan pemusnahan dalam format PDF. Dengan demikian, sistem ArsipIn layak digunakan sebagai solusi digital yang efisien, akurat, dan akuntabel untuk menggantikan metode manual di lingkungan perusahaan.
Co-Authors Ade Kurniawan Afifah Rizki, Putri Agariadne Dwinggo Samala Agung Gemilang Ahmaddul Hadi, Ahmaddul Akbar Ilahi Akbar Ilahi Almasri Almasri Ambiyar, Ambiyar Amelia Zahra Amin, Rudi Kurnia Al Anni Faridah Annisa Saputri Ardiyanti, Sri Arita Arita Arita, Arita Ariyadi Armi Asmar Yulastri Asmara, Delvi Asrul Huda Aulia Putri, Rahilla Aulia, Vikri Azmi, Arafil Bayu Ramadhani Fajri Bobby Rachman Budayawan, Khairi Budayawan, Khairi Cheng-Hong Yang Cheng-Hong Yang, Cheng-Hong Chintia Ningsih, Nur Dedy Irfan Dekry, Muhammad Reviza Delianti , Vera Irma Delvi Asmara Deny Kurniadi Desi Susanti Dessy Hardeyenti Desy Wulan Dari Dhanil, Muhammad Dina Febrianti Dini Sumanti Dony Novaliendry Dony Novaliendy Edi Prasetio Effendi, Hastria Elfi Tasrif Elsa Sabrina Emelsy, Nalurry Erni Marlina Saari Erpiana, Erpiana Fadhilah Fadhilah Fadhli Ranuharja Fahlevi, Muhammad Farel Fajri, Bayu Ramadhani Fanny Oktavia Farizi, Habib Al Fatmi, Yulia Fatni Mufit Fauzan Jamza Fauzana Azizah Firdaus Firdaus Firza, Fahira Utami Fitrah, Zhulma Fitri, Yolanda Idha Ganefri . Geovanee Farell Geovanne Farell Giatman, M Hadi Kurnia Saputra Hadi, Ahmadul Hafilah Hamimi Hafilah Hamimi Hafilah Hamimi, Hafilah Hamdani . Hamimi, Hafilah Hansi Effendi Hardeyenti, Dessy Hasan Maksum Hasnita, Sri Hastria Effendi Hayati Rahmatika Hendra Hidayat Henny Yustisia Huda, Asrul Huda, Asrul Huda, Yasdinul Igor Novid Ika Parma Dewi Indra Yones Insan, Khoirul Irma Delianti , Vera Irma Delianti, Vera Islapirna Islapirna Israt, Taufiqul Jayadi, Ridho Dimas Tri Prasetyo Jayandra Jayandra Jefry Herianto Juanda, Yeni Marita Jusmardi Jusmardi Jusmardi Karmila Sari, Nanda Kasman Rukun Kasman Rukun Khairi Budayawan Khairy, Mubarakh Hayatna Kurniadi, Denny La Ode Alwin Syahputra Putra Laila Fajri Latifah Annisa Lativa Mursyida Lativa Mursyida Legiman Slamet Lise Asnur Lusi Tridarni M. Fikri Mahendra, Jimmy Mahesi Agni Zaus Mariani Mariani Mariani Mariani Maulana Ihsan Maulana Putra, Risky Mawarni, Junia Melri Deswina Mhd Arya Dhaifullah Muhammad Adri Muhammad Adri Muhammad Anwar Muhammad Anwar Muhammad Decky Andani Muhammad Rasyid Ridha Mukhaiyar, Riki Muskhir, Mukhlidi Mutiara Pertiwi Nabila Azzahra Shammi Najna, Kimi Maulana Nasution, Marsinah Dewi Feiyska Nizwardi Jalinus Nobi Albion Ziqkra Novaldi, Farhan Novaliendy, Dony Nurindah Dwiyani Nursyafti, Yolana Pardjono, P. Parma Dewi, Ika Pepi Resmanti Ponimin Purwanto, Wawan Putra, La Ode Alwin Syahputra Putri Khairunisak Putri, Adelya Destriana Putri, Alfiola Eka Putri, Dessy Hardeyenti Putry, Shalshabila Shafa Rahmatika, Hayati Rahmi Ramadhani Rahmi, Salsabila Tri Rakhel Cakra Sandika Ramadhan, Heri Resmi Darni Resmidarni Resmidarni Resmidarni, Resmidarni Reza Aurora Rizkayeni Marta Rizki Kurniawan, Rizki Rizky Ananda Ronaldo Ronaldo Saari, Erni Marlina Sandika, Rakhel Cakra Santuni, Nofrizal Silvia Gina Rahayu Alvi Sri Ardiyanti Sri Muliani Sianipar Suciko, Adelina Sukmawati, Murni Syafrijon , Syafrijon Syafrijon Syafrijon Syafrijon, Syafrijon Syarif, Zamir Ta’ali Ta’ali Titi Sriwahyuni Titin Sriwahyuni Vera Indriani Vera Irma Delianti Vera Irma Delianti Wakhinuddin Waskito Waskito Yang, Cheng-Hong Yolanda Idha Fitri Yones, Indra Yuda Putra Utama Yudhi Diputra Yulia Fatmi Yuliarnis, Sri Kurnia Yusmerita Yusmerita Zulhendra Zulhendra Zulhendra Zulhendra Zulhijra Rahma Dia Zulmi Arifah