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All Journal TEKNIK INFORMATIKA Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) Faktor Exacta SINTECH (Science and Information Technology) Journal Jurnal Informatika Universitas Pamulang JSiI (Jurnal Sistem Informasi) Petir Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) jurnal syntax admiration Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer KOMMAS: Jurnal Pengabdian Kepada Masyarakat SENTRI: Jurnal Riset Ilmiah SAINSTECH: Jurnal Penelitian dan Pengkajian Sains dan Teknologi Jurnal Ilmu Komputer (JIK) OKTAL : Jurnal Ilmu Komputer dan Sains AMMA : Jurnal Pengabdian Masyarakat Jurnal Intelek Insan Cendikia
Yan Mitha Djaksana
Universitas Pamulang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Social Sciences

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Sistem Pendukung Keputusan Persetujuan Pengajuan Kredit Mobil di PT Clipan Finance Indonesia Dengan Metode Simple Additive Weighting (SAW) Yan Mitha Djaksana
SAINSTECH: JURNAL PENELITIAN DAN PENGKAJIAN SAINS DAN TEKNOLOGI Vol 33 No 3 (2023): Sainstech: Jurnal Penelitian dan Pengkajian Sains dan Teknologi
Publisher : Institut Sains dan Teknologi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37277/stch.v33i3.1741

Abstract

Abstract PT Clipan Finance Indonesia is a car loan financing leasing company. This company has a standard in determining whether or not a customer is eligible for car loan financing. In choosing clients who deserve for car loan financing, it must be done properly to avoid client credit congestion, so it is necessary to select client data analysis. In selecting this client data, a decision support system information was designed that can help determine the priority of clients who are eligible for car loan financing, by using the Simple Additive Weighting (SAW) method as a method of supporting decision making. The SAW method is used to support decision making to evaluate the feasibility value of clients in selecting data for clients who apply for car loans based on the criteria and weight of decision making. Through this system, it is hoped that it can help determine the feasibility of applying for a client's car loan more effectively and efficiently by making the ranking value obtained as a reference for determining client creditworthiness approval. Keywords: Car Loan Financing, Decision Support System, Simple Additive Weighting
Prediksi Waktu Tanam Cabai Rawit Berdasarkan Kondisi Lingkungan Berbasis Internet of Things (IoT) Menggunakan Metode Neural Network Djaksana, Yan Mitha; Agus Buono; Sri Wahjuni; Heru Sukoco
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 6 (2023): December 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i6.5199

Abstract

In Indonesian cuisine, the red Tabasco pepper holds a significant place as a commonly used ingredient. However, the cultivation of this chili variety is not without its challenges, primarily due to the volatile nature of the chili prices. Farmers often struggle with the critical decision of when to plant Tabasco peppers to optimize their yields and income. Understanding the complexities of this decision-making process in the context of varying environmental conditions is crucial. Thanks to recent advances in Internet of Things (IoT) technology, innovative systems have emerged to address these challenges.This study focuses on the development of an IoT-based solution aimed at helping farmers in precisely determining the optimal planting time for Tabasco pepper. It uses five key criteria—average temperature (°C), average humidity (%), rainfall (mm), length of sunlight (hours) and groundwater usage data (m3) to make data-driven planting decisions. The urgent need for such a system becomes evident when considering the unpredictability of climate patterns and their direct impact on crop outcomes. Using historical data from 2019, obtained from the Jakarta Provincial Government Open Data DKI, and climate data from the Meteorological Agency, Climatology, and Geophysics (BMKG), the authors have successfully developed an IoT-based prototype. This prototype employs a neural network algorithm to analyze the aforementioned criteria. The result is a reliable prediction system that boasts an impressive accuracy rate of 91.26%. By offering this level of precision in determining the ideal planting time for Tabasco pepper, the system extends invaluable support to farmers, helping them optimize their cultivation practices and navigate the uncertainties of the chili market.
Penerapan Metode Preference Selection Index untuk Penerima Program Keluarga Harapan di Desa Gunungsari Kabupaten Pandeglang Hays, Riyan Naufal; Siswanto; Djaksana, Yan Mitha
Jurnal Informatika Universitas Pamulang Vol 10 No 2 (2025): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jiup.v10i2.49023

Abstract

The Program Keluarga Harapan (PKH) aims to alleviate poverty and improve access to education and healthcare for underprivileged families in Indonesia. In Gunungsari Village, Mandalawangi Subdistrict, Pandeglang Regency, where most residents are low-income farmers and breeders, PKH faces challenges in accurately identifying eligible recipients due to the limitations of manual selection, which is prone to subjectivity and human error. This study explores the application of the Preference Selection Index (PSI) method to improve the objectivity and accuracy of beneficiary targeting. From 973 households, five were selected as a representative sample for manual validation. Twelve socio-economic indicators were used to assess eligibility. The PSI method systematically calculates preference weights across multiple criteria, including income, employment, housing, assets, and infrastructure access, generating a ranking of the most eligible candidates. The highest score obtained was 3.188, identifying Family C as the top candidate. The method showed strong agreement with expert judgment, as evidenced by a Spearman Rank Correlation of 0.9. These findings suggest that PSI enhances the fairness and efficiency of the PKH selection process and supports its digital transformation. This study offers a replicable model for improving governance and targeting in rural social assistance programs.
PERANCANGAN ALAT PENGUKURAN KADAR KARBON MONOKSIDA (CO) PADA GAS BUANG KENDARAAN BERMOTOR BERBASIS INTERNET OF THINGS (IoT) Djaksana, Yan Mitha; Nopriyandi , Muhammad Teguh
PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer Vol. 12 No. 2 (2025): Prosisko Vol. 12 No. 2 Juli 2025
Publisher : Pogram Studi Sistem Komputer Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/32m4vm91

Abstract

Peningkatan jumlah kendaraan bermotor berdampak langsung pada tingginya emisi gas buang yang dapat mencemari lingkungan dan membahayakan kesehatan manusia, salah satunya adalah gas karbon monoksida (CO). Untuk memantau kadar gas tersebut, diperlukan perangkat ukur yang praktis, akurat, dan dapat diakses secara real-time. Penelitian ini membahas perancangan dan implementasi alat pengukuran kadar CO pada gas buang kendaraan bermotor berbasis Internet of Things (IoT). Sistem yang dikembangkan menggunakan sensor MQ-7 sebagai pendeteksi gas CO, NodeMCU sebagai mikrokontroler sekaligus pemroses sinyal, serta aplikasi Blynk pada smartphone untuk menampilkan data hasil pengukuran secara langsung. Proses pengujian dilakukan melalui karakterisasi sensor MQ-7 menggunakan kalibrator Smart Sensor Carbon Monoxide Meter dengan dua pendekatan. Metode pertama, yaitu karakterisasi langsung sensor MQ-7, menghasilkan rentang pengukuran sebesar 38–398 ppm. Metode kedua, yaitu pendekatan melalui persamaan karakterisasi berdasarkan data sensor pada datasheet, menunjukkan rentang pengukuran sebesar 35–398 ppm. Hasil tersebut menunjukkan bahwa alat ukur yang dirancang mampu mendeteksi kadar CO dengan rentang 35–398 ppm, sehingga layak digunakan sebagai sistem monitoring gas buang kendaraan bermotor secara efektif dan praktis.
PERANCANGAN SISTEM PENGELOLAAN BANK SAMPAH BERBASIS ANDROID DENGAN METODE WATERFALL Djaksana, Yan Mitha; Sugi Ardana, I Made
Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Vol 7 No 3 (2025): Jurnal Sistem Informasi dan Teknologi Informasi
Publisher : Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/jursistekni.v7i3.511

Abstract

Masalah sampah di Indonesia telah menjadi tantangan serius dalam beberapa dekade terakhir, terutama sampah plastik yang sulit terurai. Bank sampah muncul sebagai solusi efektif, bertujuan untuk mengurangi dampak negatif sampah plastik dengan mengumpulkan dan mendaur ulang sampah plastik dari masyarakat. Bank Sampah Cipondoh Makmur, salah satu bank sampah di wilayah Cipondoh Makmur, saat ini menggunakan sistem manual untuk pencatatan data, yang menyebabkan ketidakefisienan dan kerumitan dalam pengelolaan data. Dengan perkembangan teknologi informasi, banyak organisasi mulai menggantikan sistem manual dengan sistem terkomputerisasi, terutama yang berbasis Android. Android, dengan sifat open source-nya, memungkinkan pengembangan aplikasi secara gratis dan mudah digunakan. Sebagian besar masyarakat Indonesia kini memiliki smartphone, mendorong banyak instansi beralih ke sistem berbasis mobile. Penelitian ini bertujuan untuk merancang dan mengembangkan aplikasi berbasis Android bagi Bank Sampah Cipondoh Makmur guna meningkatkan efisiensi dalam pengelolaan data anggota, pendapatan, dan pengumpulan sampah. Dengan sistem ini, diharapkan bank sampah dapat beroperasi lebih efisien dan efektif, serta berkontribusi pada pengurangan sampah plastik dan dampak negatifnya terhadap lingkungan. Penelitian ini penting karena dapat memberikan kontribusi dalam mengatasi masalah pengelolaan sampah plastik di Indonesia. Dengan memanfaatkan teknologi Android, diharapkan efisiensi manajemen bank sampah meningkat, mendukung upaya daur ulang, dan mengurangi sampah plastik di tempat pembuangan akhir. Selain itu, penelitian ini juga berkontribusi pada perkembangan teknologi informasi di sektor pengelolaan sampah, penting untuk konservasi lingkungan di Indonesia. Hasil penelitian diharapkan membawa manfaat signifikan bagi Bank Sampah Cipondoh Makmur dan bank sampah lainnya di seluruh Indonesia, mempromosikan penggunaan teknologi Android dalam pengelolaan sampah yang berkelanjutan.
Analisa dan Perancangan Sistem Monitoring Inventory Berbasis Website dengan Metode Rapid Application Development Djaksana, Yan Mitha
SENTRI: Jurnal Riset Ilmiah Vol. 4 No. 10 (2025): SENTRI : Jurnal Riset Ilmiah, Oktober 2025
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v4i10.4772

Abstract

Inventory management systems are an essential part of a company’s operational activities, serving as a control mechanism for product availability to ensure that business processes run efficiently and effectively. The rapid development of information technology has led companies to shift from manual to computerized inventory systems to enhance data accuracy, speed, and accessibility. This study aims to analyze and design a web-based inventory monitoring system for CV Murijaya Karya Teknik, a company that still relies on manual methods for managing product stock, recording incoming and outgoing goods, and generating reports. The research adopts the Rapid Application Development (RAD) methodology, which emphasizes fast system development with active user involvement throughout the process. The RAD approach consists of several stages: requirement planning, system design, construction and feedback, and implementation. Data were collected through observation, interviews, and documentation to determine user needs and system functionality. The proposed system is developed using PHP and MySQL with a structured design that includes database architecture, user interfaces, and inventory monitoring modules. The implementation of this system helps users easily record, process, and monitor stock data in real time while reducing errors caused by manual data handling. The results indicate that the web-based inventory monitoring system significantly improves the efficiency and accuracy of inventory management processes at CV Murijaya Karya Teknik. This study concludes that applying web-based technology and RAD methodology can be an effective solution for improving company performance and decision-making in inventory management.
Uncovering Hidden Themes in Indie Music: Crisp-Dm Guided LDA Topic Modeling on a Kaggle-Based Lyric Generation Dataset Thoyyibah T; Yan Mitha Djaksana
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i2.46643

Abstract

The development of music has produced many works in the form of data, especially lyrical data, which provide insight into the semantic structure of music. This study explores latent thematic patterns in the indie lyric dataset from Kaggle by applying Latent Dirichlet Allocation (LDA), which is the first LDA study of indie music lyrics in the Indonesian context with the interpretation of love, emotional needs, romance, and inner conflict. The CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology can be effectively applied to unstructured data, opening up opportunities for better music classification. The methodological stages include business and data understanding, data preparation, modelling, evaluation, and dissemination. In the early stages, the Kaggle dataset implemented Natural Language Processing, which was done with case folding, punctuation removal, stopword removal, stemming, and tokenization. The LDA model is trained by identifying five topics with different interpretations. Visualization in WordClouds, with topic distribution on datasets and title-based topic mapping. This model yielded a coherence value of 0.3044, which indicates limited semantic consistency, which means the words in the topic have a reasonably good relationship, but there is still potential for refinement in subsequent studies. The limitations of this study include the limited size of the dataset, with only 347 rows and slight variation in interpretation. For future research, it is recommended to use larger datasets and more diverse interpretations and apply more machine learning models.
Sistem Informasi Seminar Berbasis Android Menggunakan Metode Prototype Hardiansyah Hardiansyah; Djaksana, Yan Mitha; Jihansyah, Muhamad; Hardiansyah, Hardiansyah
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol 6, No 04 (2025): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v6i04.16056

Abstract

Pandemi global yang melanda dunia membawa perubahan besar terhadap sistem konvensional, termasuk dalam bidang pendidikan. Salah satu dampaknya terlihat pada pelaksanaan seminar di Universitas Pamulang yang sebelumnya dilakukan secara manual dan kini beralih ke media digital. Meskipun telah menggunakan beberapa teknologi seperti Google Form dan sertifikat PDF, sistem yang ada masih memiliki kelemahan, terutama pada aspek efisiensi, integrasi, serta keaslian sertifikat yang mudah dimanipulasi. Permasalahan tersebut menjadi dasar penelitian ini untuk merancang dan mengembangkan aplikasi berbasis Android yang terintegrasi dengan sistem web admin. Aplikasi ini bertujuan untuk mempermudah proses pendaftaran peserta seminar, penyebaran informasi kegiatan, pengelolaan absensi, serta penerbitan sertifikat digital dengan identifikasi unik yang dapat diverifikasi melalui website resmi. Metode penelitian yang digunakan mencakup analisis kebutuhan, perancangan sistem, pengembangan perangkat lunak, serta uji coba aplikasi untuk mengukur efektivitas dan keamanannya. Hasil penelitian menunjukkan bahwa aplikasi yang dikembangkan mampu meningkatkan efisiensi administrasi seminar, mengurangi potensi kecurangan sertifikat, dan memberikan kemudahan baik bagi peserta maupun pihak penyelenggara. Dengan demikian, implementasi aplikasi ini diharapkan menjadi solusi inovatif dalam mendukung digitalisasi sistem seminar di Universitas Pamulang secara berkelanjutan
APLIKASI DIAGNOSA PENYAKIT SARAF PADA OTAK MENGGUNAKAN METODE MODIFIED K-NEAREST NEIGHBOR BERBASIS ANDROID Hasan Sajili; Yan Mitha Djaksana
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 02 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Disease is a cause of disturbances in the human body and all of these are familiar to humans, because disease is said to be a disorder that is very often experienced by humans. Every human being already knows that their bodies are facing health problems, but most of them, especially those who do not have enough money, do not know about the diseases that are bothering their bodies and how to treat these problems because there is not enough money to see a doctor. One disease that is quite costly is a disease of the brain's nerves, because to treat this disease you have to go straight to the hospital to meet a neurologist to check for the disease. fatal consequences such as acute stroke. The purpose of this research is to build an Android-based neuromuscular diagnosis application by implementing the Modified K-Nearest Neighbor method. The results of this study are successful in implementing the Modified K-Nearest Neighbor method in the Android-based neuromuscular disease diagnosis application.
Transformers in Machine Learning: Literature Review T, Thoyyibah; Haryono, Wasis; Zailani, Achmad Udin; Djaksana, Yan Mitha; Rosmawarni, Neny; Arianti, Nunik Destria
Jurnal Penelitian Pendidikan IPA Vol 9 No 9 (2023): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i9.5040

Abstract

In this study, the researcher presents an approach regarding methods in Transformer Machine Learning. Initially, transformers are neural network architectures that are considered as inputs. Transformers are widely used in various studies with various objects. The transformer is one of the deep learning architectures that can be modified. Transformers are also mechanisms that study contextual relationships between words. Transformers are used for text compression in readings. Transformers are used to recognize chemical images with an accuracy rate of 96%. Transformers are used to detect a person's emotions. Transformer to detect emotions in social media conversations, for example, on Facebook with happy, sad, and angry categories. Figure 1 illustrates the encoder and decoder process through the input process and produces output. the purpose of this study is to only review literature from various journals that discuss transformers. This explanation is also done by presenting the subject or dataset, data analysis method, year, and accuracy achieved. By using the methods presented, researchers can conclude results in search of the highest accuracy and opportunities for further research.
Co-Authors Achmad Udin Zailani Agus Buono Habib Nurfaizal Hardiansyah Hardiansyah Haryono, Wasis Hasan Sajili Hay's, Riyan Naufal Hendra Rahmawan Hendra Rahmawan Heru Sukoco I GNM Dharma Putra I Made Sugi Ardana Ikwan Jihansyah, Muhamad Kelvin Gunawan Lisda Fitriana Masitoh Lisda Fitriana Masitoh M. Irwan Makhsun Makhsun Muhamad Abdurahman Kamil Muhammad Hendry Muhammad Sulaiman Neny Rosmawarni Ni Nyoman Sugi Widiastithi Nopriyandi , Muhammad Teguh Nunik Destria Arianti Octaviana Anugrah Ade Purnama Sasqia Zufriani Shelvie Nidya Neyman Siswanto Sri Damayanti Sri Wahjuni Sudarno Wiharjo T, Thoyyibah Thoyyibah T Ubaedi, Ibnu Usman Maulana Riyansyah Weni Gurita Aedi Weni Gurita Aedi