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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL PENDIDIKAN TAMBUSAI JURTEKSI Jurnal Review Pendidikan dan Pengajaran (JRPP) JATI (Jurnal Mahasiswa Teknik Informatika) JISA (Jurnal Informatika dan Sains) Community Development Journal: Jurnal Pengabdian Masyarakat Teknik: Jurnal Ilmu Teknik dan Informatika Jurnal Teknik Informatika dan Elektro (JURTIE) Ilmu Komputer untuk Masyarakat Jurnal Indonesia Sosial Sains Journal of Artificial Intelligence and Digital Business Innovative: Journal Of Social Science Research J-ENSITEC (Journal of Engineering and Sustainable Technology) Jurnal Pengabdian Bersama Masyarakat Indonesia Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Fadli, Sofiansyah
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Quality Measurement of Online Single Submission (Oss) Information System with Mc Call Method (Case Study of Plut Kumkm) Dewi, Lina Astika; Muniarti, Wafiah; Fadli, Sofiansyah; Fahmi, Hairul
Jurnal Indonesia Sosial Sains Vol. 5 No. 05 (2024): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v5i05.1120

Abstract

The NTB Province Micro, Small and Medium Enterprise Cooperative Integrated Business Service Center (PLUT-KUMKM) under the West Nusa Tenggara Province Small and Medium Enterprise Cooperative Service, provides comprehensive assistance to KUMKM to increase production and competitiveness. With seven service areas, PLUT- KUMKM provides effective solutions for business actors. However, in issuing a Business Identification Number (NIB) via the OSS application. The thing is, like in the Business Licensing menu, there is a business development feature. Carrying out business development cannot be completed in one activity in one feature, users must return to the new application menu to continue the business development process and make updates. And user errors often occur such as entering information or not following the correct procedures when filling out forms. The licensing system seeks to be integrated electronically, aiming to cut bureaucracy and improve public services. This research measures the quality of the OSS system for issuing nibs based on the perceptions of 100 gardatransfumi assistants, using the McCall method . A comprehensive evaluation is carried out to identify weaknesses and necessary improvements. Measuring the quality of OSS systems using McCall's theory is important for understanding product quality attributes from the perspective of users and the software itself. The research results will provide in-depth insight into the condition of the website and recommendations for improvement. With the OSS system, the government is trying to make it easier to manage business legality. The NIB issued through OSS becomes the identity of business actors for import and export activities. Through quality measurements, systems, weaknesses and improvements to the NIB issuance process can be identified thereby ensuring better service for business actors.
PENGABDIAN MASYARAKAT PEMULA PENINGKATAN PRODUKTIVITAS DAN PEMASARAN KELOMPOK UMKM PENGRAJIN PANDAN BERBASIS PLATFORM DIGITAL Fadli, Sofiansyah; Murniati, Wafiah; Saikin, Saikin; Pirmansyah, Pirmansyah; Musofa, Aolia
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 5 (2024): Vol. 5 No. 5 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i5.35018

Abstract

Pengabdian kepada masyarakat ini berfokus pada PMP Peningkatan Produktivitas dan Pemasaran Kelompok UMKM Pengrajin Pandan Berbasis Platform Digital yang bertujuan untuk mengatasi tantangan yang dihadapi oleh pengrajin pandan dalam meningkatkan produktivitas dan pemasaran produk mereka. UMKM pengrajin pandan sering kali terhambat oleh keterbatasan akses pasar. Oleh karena itu, pemilihan topik ini penting untuk memberdayakan pengrajin lokal agar lebih kompetitif dan berkelanjutan. Metode yang digunakan dalam pengabdian ini mencakup pelatihan penggunaan platform digital untuk pemasaran, pendampingan dalam proses produksi, serta pengembangan strategi pemasaran online. Aktivitas ini melibatkan workshop, bimbingan teknis, dan implementasi sistem digitalisasi. Hasil dari pengabdian ini menunjukkan peningkatan signifikan dalam produktivitas pengrajin pandan serta perbaikan dalam jangkauan pasar melalui platform digital. Pengrajin yang terlibat mengalami kenaikan dalam penjualan dan memperluas pangsa pasar mereka secara efektif. Hasil dari pengabdian ini menegaskan pentingnya adopsi teknologi digital untuk meningkatkan daya saing UMKM. Penggunaan platform digital tidak hanya meningkatkan efisiensi produksi tetapi juga memperluas peluang pemasaran, yang pada gilirannya dapat berkontribusi pada pertumbuhan ekonomi lokal dan kesejahteraan pengrajin.
SISTEM PENUNJANG KEPUTUSAN EVALUASI KINERJA KARYAWAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING STUDI KASUS : PT. TRIPA MULTI MANDIRI Maulida, Nurul; Tantoni, Ahmad; Fadli, Sofiansyah
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 4 (2024): Vol. 7 No. 4 Tahun 2024
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i4.34250

Abstract

Tripa Multi Mandiri adalah perusahaan yang menyediakan layanan dalam pengurusan sertifikasi industri dan legalitas perusahaan. Untuk meningkatkan kualitas kerja dan memotivasi karyawan, perusahaan ini menerapkan sistem pendukung keputusan untuk menilai kinerja karyawan terbaik. Namun, evaluasi kinerja yang dilakukan secara manual sering kali kurang konsisten dan objektif. Untuk mengatasi masalah ini, penelitian ini mengusulkan penggunaan sistem pendukung keputusan dengan metode Simple Additive Weighting (SAW). Metode SAW, yang dikenal sebagai metode penjumlahan terbobot, mekan penilaian kinerja yang lebih sistematis dan objektif dengan mempertimbangkan lima kriteria utama: kedisiplinan (bobot 0,30), kehadiran (0,20), tanggung jawab (0,20), kerja sama (0,15), dan prestasi (0,15). Data kinerja karyawan dinormalisasi dengan nilai maksimum dan minimum pada setiap kriteria, lalu dihitung untuk mendapatkan skor akhir berdasarkan bobot yang ditetapkan. Hasil evaluasi menunjukkan bahwa metode SAW efektif dalam menentukan karyawan terbaik, dengan nilai total tertinggi mencapai 0,957 untuk karyawan A1 dan nilai terendah 0,787 untuk karyawan A11. Sistem ini memberikan solusi yang lebih adil dan transparan dibandingkan dengan metode manual sebelumnya. Penelitian ini merekomendasikan agar PT. Tripa Multi Mandiri secara berkala meninjau dan memperbarui bobot kriteria penilaian untuk menjaga relevansi dan efektivitas sistem evaluasi.
SISTEM PENDUKUNG KEPUTUSAN EVALUASI KINERJA GURU MENGGUNAKAN METODE HYBRID RANK ORDER CENTROID DAN SIMPLE ADDITIVE WEIGHTING Muliana, Muliana; Saikin, Saikin; Fadli, Sofiansyah
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 4 (2024): Vol. 7 No. 4 Tahun 2024
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i4.34658

Abstract

Sistem pendukung keputusan diterapkan dalam penelitian ini yaitu sebagai system untuk melakukan rekomendasi dan untuk mengevaluasi kinerja guru di SDN ketangan,penggunaan metode Simple Additive Weighting (SAW) Rank Order Centroid (ROC) untuk mengoptimalkan kinerja guru.Tujuan dari penelitian ini adalah untuk mengembangkan system pendukung keputusan dengan menggunakan metode SAW dan ROC yang dapat memudahkan dalam evaluasi kinerja guru.Hasil penelitian ini menunjukkkan bahwa system ini secara signifikan meningkatkan efisiensi dalam proses evaluasi,Hasil pengujian memperoleh alternatif terbaik sebagai guru berprestasi adalah alternatif A4 yang menghasilkan nilai preferensi tertinngi sebesar 0,960 sebagai peringkat pertama.
SISTEM PENDUKUNG KEPUTUSAN EVALUASI KINERJA KEPALA SEKOLAH SMA/SMK KABUPATEN LOMBOK TENGAH NTB Fadli, Sofiansyah; Winarno, Wing Wahyu
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 1 No. 1 (2017): PROSIDING SEMNAS INOTEK Ke-I Tahun 2017
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v1i1.419

Abstract

Kepala sekolah adalah pemimpin tertinggi sebuah pendidikan formal yang bertanggung jawab terhadap kegiatan belajar mengajar, serta mengembangkan potensi yang ada. Sistem evaluasi kinerja kepala sekolah Kabupaten Lombok Tengah selama ini dilaksanakan secara konvensional sehingga menimbulkan beberapa masalah diantaranya adalah masih menggunakan sistem manual (tidak efisiensi dalam penggunaan anggaran), membutuhkan waktu yang cukup lama (diolah berdasarkan perhitungan manual), tidak ditentukan kriteria dan subkriteria mana yang menjadi elemen penting yang mendapatkan perhatian kepala sekolah dalam rangka meningkatkan kinerja, kepala sekolah tidak mengetahui hasil evaluasi kinerja pada kompetensi mana yang unggul dan kompetensi yang kurang, adanya subjektifitas dalam pengambilan keputusan, misalkan jika beberapa kepala sekolah yang ada memiliki kemampuan yang tidak jauh berbeda. Berdasarkan permasalahan tersebut, maka dalam penelitian ini dikembangkan sistem pendukung keputusan dengan menggunakan metode AHP dan metode TOPSIS untuk mendapatkan informasi yang sahih, objektif dan handal tentang hasil evaluasi kinerja kepala sekolah. Hasil akhir dari penelitian ini didapatkan bahwa sistem pendukung keputusan evaluasi kinerja kepala sekolah menggunakan metode AHP dan TOPSIS mampu mengatasi permasalahan dalam melakukan evaluasi kinerja yang bisa dijadikan alternatif bagi Dinas terkait untuk membantu dalam proses pengambilan keputusan.
Penerapan Algoritma BERT dalam Analisis Sentimen Opini Publik terhadap Destinasi Wisata dengan Metode CRISP-DM Saikin, Saikin; Zaen, Mohammad Taufan Asri; Fadli, Sofiansyah; Fahmi, Hairul
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.4373

Abstract

Penelitian ini bertujuan untuk menganalisis opini publik terhadap destinasi wisata di Pulau Lombok menggunakan algoritma BERT (Bidirectional Encoder Representations from Transformers) dengan pendekatan metodologi CRISP-DM (Cross Industry Standard Process for Data Mining). Pulau Lombok dipilih sebagai studi kasus karena memiliki potensi pariwisata yang tinggi, namun pemanfaatan analisis sentimen berbasis pembelajaran mendalam terhadap ulasan wisatawan masih relatif terbatas. Data penelitian diperoleh dari platform Google Maps sebanyak 5.945 ulasan wisatawan, yang setelah melalui tahap pembersihan data (data cleaning) menghasilkan 4.972 data ulasan yang valid. Proses analisis mengikuti tahapan CRISP-DM hingga tahap evaluasi, meliputi pemahaman bisnis, pemahaman data, persiapan data, pemodelan, dan evaluasi. Model BERT dilatih melalui proses fine-tuning dengan penerapan weighted loss dan weighted random sampler untuk mengatasi permasalahan ketidakseimbangan kelas sentimen. Hasil evaluasi menunjukkan bahwa model mencapai akurasi sebesar 0,9209, Weighted F1-Score sebesar 0,9054, dan Macro F1-Score sebesar 0,6293. Kinerja terbaik diperoleh pada kelas sentimen positif dengan nilai F1-score sebesar 0,96, diikuti oleh kelas negatif dengan nilai 0,71, sementara kelas netral menunjukkan performa terendah dengan nilai F1-score sebesar 0,22. Temuan ini menunjukkan bahwa algoritma BERT efektif dalam mengklasifikasikan sentimen ulasan berbahasa Indonesia pada domain pariwisata, meskipun masih terdapat tantangan dalam menangani kelas minoritas. Penelitian ini berkontribusi secara akademik dalam pengembangan analisis sentimen berbasis transformer dan secara praktis memberikan wawasan bagi pemangku kepentingan dalam meningkatkan kualitas layanan serta strategi pengelolaan destinasi wisata di Pulau Lombok.
Implementation of the AHP-SMARTER Method in the Decision Support System for Giving Sanctions for Violation of Student Disciplines Fadli, Sofiansyah; Ashari, Maulana; Asyari, Hasyim; Pardiansyah, Ahmad Susan
JISA(Jurnal Informatika dan Sains) Vol 5, No 1 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i1.1049

Abstract

Violations of school rules are often carried out by students, including lack of respect for teachers, students who are not on time, often late for class, skipping classes, jumping fences, smoking and not paying attention to the rules and other regulations in school. This study aims to build a decision support system for sanctions for violations of student discipline that has the ability to analyze each of the criteria and sub-criteria that have been determined by the school. In this case, students who violate school rules will be punished and given sanctions so as to provide an output value of priority intensity which results in a system that provides an assessment of violations against students. The method used in building this decision support system is by combining the Analytical Hierarchy Process (AHP) method and the Simple Multi Attribute Rating Technique Exploiting Rank (SMARTER) method. Weighting criteria using the AHP method and for ranking using the SMARTER method. The system created can be used to assist in processing data on violations of school rules. With this decision support system, it is hoped that policy makers will have no difficulty in determining what types of actions and sanctions will be given to students who violate school rules.
Penggunaan Metode Techique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk Evaluasi Kinerja Dosen oleh Mahasiswa (Studi Kasus: STMIK Lombok) Fadli, Sofiansyah; Zaen, Mohammad Taufan Asri
JISA(Jurnal Informatika dan Sains) Vol 1, No 1 (2018): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v1i1.295

Abstract

In general the lecturers performance evaluation is a routinity of a College institute for improving internal quality on an ongoing basis as well as the improvement of the status of accreditation. Performance evaluation activities specifically lecturer at STMIK Lombok funded on each period, that is the end of each semester, the lecturers assessment process performed by the students. The results of this performance assessment will be use to improve the performance of evaluation material and any lecturer who was elected as a lecturer with the best performance will be given the award. To assist in the assessment process, a system that capable to support the decision of the performance assessment of lecturers needed. The purpose of this research is to evaluate the performance of Lecturers by students at STMIK Lombok. The decision-making process aided by a computerized decision support system in expectation that subjectivity in decision-making can be minimised. Decision support systems can be used as a tool for evaluating the performance of the lecturers, so hopefully it can help the policy makers in decision-making, to get objective information about the performance of lecturers based on specified criteria.
Application of the DeLone and McLean Success Model to the SEMAIK Website: A Case Study in Central Lombok Rozi, Fatrul; Fadli, Sofiansyah; Zaen, Mohammad Taufan Asri
JISA(Jurnal Informatika dan Sains) Vol 8, No 2 (2025): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v8i2.2554

Abstract

 In In the digital age, the use of information technology in public services, including population administration, is crucial. To facilitate access to online population services, the Population and Civil Registration Office of Central Lombok Regency provides the SEMAIK website. Nonetheless, several issues persist, particularly in system quality and service quality. System performance often becomes unstable, with the website slowing down when many users submit service requests simultaneously, while service responsiveness is also frequently delayed. These issues highlight the need for a more comprehensive evaluation of the platform. This study aims to quantitatively assess the effectiveness of the SEMAIK website using the DeLone and McLean Information System Success Model. Data were collected through questionnaires distributed to 126 respondents and analyzed using the SEM-PLS approach. The findings indicate that information quality positively influences system use but does not significantly affect user satisfaction. Meanwhile, service quality, system quality, and system use all show positive effects on user satisfaction. Additionally, although system use does not significantly contribute to net benefits, user satisfaction demonstrates a strong positive effect on net benefits. The model also meets the criteria for good model fit based on the goodness-of-fit assessment. However, the results suggest that aspects related to information quality and system use require improvement, as their effects on user satisfaction and net benefits are not yet optimal. These findings provide concrete recommendations for enhancing the SEMAIK website to ensure more effective and reliable digital public services.
Implementation of Data Mining on Tourist Visits Patterns on Lombok Island Tourism Objects Fadli, Sofiansyah; Saikin, Saikin; Ashari, Maulana
JISA(Jurnal Informatika dan Sains) Vol 5, No 1 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i1.1062

Abstract

Foreign tourists entering Indonesia in 2017 and 2018 have increased. From the data obtained on the website of the Ministry of Tourism (Kemenpar) the number of foreign tourists in 2017 was 14,039,799, while in 2018 there were 15,806.1, with a comparison of the number of tourists from the two years, the percentage increase in tourists was 12.58%. The data analysis approach using a classification model is a data analysis approach by studying the data and making predictions with the new data. in the classification model, there are many algorithms that can be applied in data analysis, one of which is the Decision Tree algorithm. This study aims to analyze the pattern of tourist visits based on the objects visited by the number of tourists visiting certain tourist objects. From the modeling using the Decesion Tree C4.5 Algorithm and the scenario of splitting the data into three parts, the highest accuracy value was obtained for splitting data of 80:20 for train and testing data and max depth 7, which obtained an accuracy of 94% for train data and 92% for data. testing. Modeling with the Boostrap Aggregating Method, the accuracy score obtained on training data is 93% and testing data is 92. percent. 3 accuracy results from using bagging reduce the accuracy of the C4.5 algorithm on the data training side from 94% to 93 percent, while the accuracy of testing data is still the same, namely 92%.
Co-Authors Alpan, Muh. Andikasari, Bq Devi Andikasari, Devi Apriati, Yati Aryandhana, Lalu Bintang Cahyanti, Riska Indah Darusman, Marzuki Dewi, Lina Astika Didik Sudyana Fahmi , Hairul Fahmi, Hairul Fauzi Zulkarnain, Mohammad Hasyim Asyari Husnul Khotimah ilahi, faidlul Ilhami, L. Tatang Arif Indah Cahyanti, Riska Jihadul Akbar Kartini, Ajeng Mastuti Khairul Imtihan khairunnisa, Baiq Lalu Mutawalli Mardi Mardi Maulana Ashari Mohammad Taufan Asri Zaen Muhammad Fauzi Zulkarnaen Muliana, Muliana Muniarti, Wafiah Musofa, Aolia Musyarrofah, Siti Nurul Maulida, Nurul Pardiansyah, Ahmad Susan Pirmansyah Pirmansyah Putra, Lalu Herjayadi Ramadhon, Muhammad Syahid Rozi, Fatrul Sa'adati, Yuan Sadri, Muhammad Saeful Hamdi Saikin Septiani, Ria Sunardi Sunardi Tantoni, Ahmad Wafiah Murniati Wahyuni Putri, Sri