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All Journal InComTech: Jurnal Telekomunikasi dan Komputer JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik Journal of Information Systems and Informatics Jambura Journal of Electrical and Electronics Engineering Zonasi: Jurnal Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Innovation Information Technology and Application (JINITA) Infotek : Jurnal Informatika dan Teknologi SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Repeater: Publikasi Teknik Informatika dan Jaringan JPEMAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Publikasi Teknik Informatika Jurnal Kendali Teknik dan Sains
Jihadul Akbar
STMIK Lombok
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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EKSPLORASI TOPIK PERCAKAPAN KOMUNITAS LARAVEL DI TELEGRAM MENGGUNAKAN METODE LATENT DIRICHLET ALLOCATION (LDA) Akbar, Jihadul; Ashary, Asyim; Saleh, Mamun
ZONAsi: Jurnal Sistem Informasi Vol. 7 No. 3 (2025): Publikasi artikel ZONAsi: Jurnal Sistem Informasi Periode September 2025
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/2f6w0m30

Abstract

Komunitas daring, khususnya grup Telegram, telah menjadi ruang diskusi aktif bagi pengembang perangkat lunak dalam berbagi pengetahuan dan menyelesaikan masalah teknis. Salah satu komunitas terbesar adalah Laravel Indonesia dengan lebih dari 19.000 anggota. Penelitian ini bertujuan untuk mengeksplorasi topik percakapan dalam komunitas tersebut menggunakan metode Latent Dirichlet Allocation (LDA). Data dikumpulkan dari percakapan grup Telegram Laravel Indonesia sejak Januari 2018 hingga Agustus 2025 dengan total 618.160 pesan. Setelah melalui tahapan preprocessing (pembersihan data, normalisasi, stemming, tokenisasi, dan stopword removal), sebanyak 396.711 pesan dianalisis menggunakan LDA. Hasil evaluasi coherence score menunjukkan bahwa jumlah topik optimal adalah empat, yakni: (1) manajemen akses dan deployment aplikasi, (2) interaksi sosial serta kebutuhan informasi, (3) pengelolaan dan penyajian data, serta (4) penggunaan Laravel sebagai framework inti. Temuan ini memperlihatkan bahwa komunitas Laravel di Telegram berfungsi tidak hanya sebagai forum teknis, tetapi juga sebagai sarana kolaborasi dan pembelajaran bersama. Penelitian ini memberikan kontribusi terhadap pemahaman dinamika diskusi komunitas pengembang daring, serta membuka peluang pengembangan penelitian lanjutan menggunakan metode topic modeling lainnya maupun integrasi dengan analisis sentimen.
ADDIE-BASED WEB BOOKING SYSTEM FOR RURAL TOURISM Maulana, Firman; Fahmi, Hairul; Akbar, Jihadul
Jurnal Informatika dan Rekayasa Elektronik Vol. 8 No. 2 (2025): JIRE November 2025
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/jire.v8i2.1844

Abstract

Digital transformation plays a crucial role in fostering innovation within community-based tourism services, particularly in rural areas of Indonesia. This study aims to develop a Web-Based Travel and Car Booking Application using the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation) as a systematic framework to support the digital transformation of tourism transportation services in Rembitan Village, Central Lombok Regency. A mixed-method approach was employed to integrate user needs analysis, user-centered design, system development, and functional evaluation. The black-box testing results indicated that all system modules operated according to specifications with a 100% success rate. A quantitative evaluation using the System Usability Scale (SUS) was conducted on ten key participants, representing the entire population of active transport operators in the village. The results yielded an average score of 91.5 (Excellent category), indicating high usability and ease of use for non-technical users. Qualitative findings revealed improvements in operational efficiency, faster booking and payment confirmation, and greater transparency through the integration of the WhatsApp API and AI Chat Integration modules. The findings confirm that the ADDIE model effectively produces a digital system that is scientifically rigorous, technically reliable, and socially impactful. The developed application serves as a practical prototype for Smart Tourism Village implementation, promoting sustainable digital transformation and local economic empowerment within rural tourism sectors in Indonesia.
A Culinary Recommendation System in Lombok Using Latent Dirichlet Allocation and Content-Based Filtering Jihadul Akbar; Sofiansyah Fadli
Journal of Innovation Information Technology and Application (JINITA) Vol 7 No 2 (2025): JINITA, December 2025
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v7i2.2932

Abstract

This research develops a culinary recommendation system in Lombok by integrating the Latent Dirichlet Allocation (LDA) and Content-Based Filtering (CBF) methods. This integration aims to overcome the limitations of pure CBF, which relies solely on basic restaurant attributes and is less capable of capturing the semantic context of tourist reviews. Data was obtained through web scraping of Google Maps using the Apify.com platform, covering 825 restaurants and 20,114 reviews. The research stages included data collection, text preprocessing, topic modeling using LDA, feature engineering, similarity calculation using cosine similarity, and system evaluation. Evaluation was performed using Precision@K, Recall@K, F1-Score, and Mean Average Precision (MAP). The results show that the hybrid CBF+LDA model provides a significant improvement compared to pure CBF, with Precision@3 of 0.9333, Recall@3 of 0.1312, F1-Score of 0.2300, and MAP of 0.9628. These findings indicate that the integration of LDA topics enriches the semantic representation of reviews, thereby improving the relevance of recommendations. This research contributes to the development of artificial intelligence-based tourism recommendation systems and provides practical implications for promoting local cuisine, enhancing tourist experiences, and utilizing digital reviews as a basis for decision-making in the regional tourism sector. 
PERANCANGAN SISTEM PENGAJUAN BERKAS PENSIUN PEGAWAI NEGERI SIPIL (PNS) BERBASIS WEB DENGAN METODE PROTOTYPE PADA BKPSDM KABUPATEN LOMBOK TENGAH Akbar, Jihadul; Betty Indah Mawarti; Maemun Saleh
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 10 No 2 (2025): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v10i2.60366

Abstract

Proses pengajuan berkas pensiun Pegawai Negeri Sipil (PNS) di BKPSDM Kabupaten Lombok Tengah masih dilakukan secara manual sehingga menimbulkan permasalahan seperti keterlambatan proses, ketidaklengkapan data, duplikasi pengajuan, serta rendahnya transparansi alur layanan. Penelitian ini bertujuan merancang dan mengimplementasikan sistem pengajuan berkas pensiun berbasis web menggunakan metode Prototype untuk meningkatkan efisiensi, akurasi, dan keterlacakan proses administrasi. Tahapan penelitian meliputi identifikasi kebutuhan, pembuatan prototype awal, evaluasi melalui User Acceptance Testing (UAT), penyempurnaan desain melalui dua siklus iterasi, implementasi sistem, dan pengujian menggunakan Black Box Testing. Hasil UAT menunjukkan tingkat kepuasan pengguna sebesar 82,7% dengan nilai tertinggi pada aspek kemudahan navigasi (88%), menandakan bahwa prototype telah memenuhi kebutuhan pengguna. Pengujian Black Box Testing terhadap 15 skenario fungsional menghasilkan tingkat keberhasilan 100%, mencakup validasi input, unggah dokumen, pencegahan pengajuan ganda, pemberian catatan revisi, dan pembaruan status secara real-time. Sistem yang dikembangkan terbukti mampu meningkatkan transparansi, akurasi data, serta efektivitas proses pengajuan pensiun di BKPSDM Kabupaten Lombok Tengah.
Sistem Absensi Guru dan Staf Tata Usaha di SMKN 1 Praya Tengah Mansur Mansur; Jihadul Akbar
Jurnal Kendali Teknik dan Sains Vol. 1 No. 2 (2023): April: Jurnal Kendali Teknik dan Sains
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v1i2.308

Abstract

The attendance of teachers and administrative staff at SMKN 1 Praya Tengah is a document that records the hours of attendance for each teacher and administrative staff at SMKN 1 Praya Tengah. Recording the hours of attendance carried out by each teacher and administrative staff at SMKN 1 Praya Tengah can affect the net salary and allowances that will be received by the teacher and administrative staff each month, because the salary and allowances given depend on their attendance, with having an attendance application can certainly guarantee an accurate time record and prevent errors from occurring when compared to making notes manually. This accurate information helps provide precise details about each teacher and administrative staff at SMKN 1 Praya Tengah and can certainly help improve the performance of teachers and staff.
User Satisfaction with the Semeton LH Chatbot: An Integrated TAM and DeLone-McLean Approach Lisa Ria Fitriani; Sofiansyah Fadli; Jihadul Akbar
Journal of Information System and Informatics Vol 8 No 3 (2026): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i3.1629

Abstract

Digital transformation in public services has encouraged the adoption of chatbots as effective and efficient tools for communication and information delivery. The Central Lombok Regency Environmental Agency developed the Semeton LH chatbot to improve public access to environmental service information. This study aims to analyze user satisfaction with the Semeton LH chatbot by integrating the Technology Acceptance Model (TAM) and the DeLone and McLean Information Systems Success Model. A quantitative approach was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS, based on data collected from 96 respondents. The measurement model evaluation indicates that several indicators met validity and reliability criteria; however, some constructs still showed limitations in convergent and discriminant validity, particularly in the Average Variance Extracted (AVE) and Heterotrait-Monotrait Ratio (HTMT) values. Therefore, the structural findings should be interpreted cautiously. The results show that Attitude Toward Using (ATU) has a positive and significant effect on Behavioral Intention to Use (BI) and User Satisfaction (US). In addition, Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) significantly influence ATU. Overall, user satisfaction is primarily shaped by positive attitudes formed through perceived ease of use and perceived usefulness.
Perancangan Sistem Informasi Geografis Pemetan Jalan Pada Dinas Pekerjaan Umum dan Penataan Ruang Kabupaten Lombok Tengah Menggunakan Metode Waterfall Ihza dirgantara aji; Jihadul Akbar
Jurnal Publikasi Teknik Informatika Vol. 2 No. 2 (2023): Mei: Jurnal Publikasi Teknik Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v2i2.1736

Abstract

The road is a means of land transportation that has a function to connect one area to another. Therefore the development of an area can run well if access and mobility are not disturbed or hindered. Road conditions are very important in facilitating the mobility of various sectors such as the economic, industrial, trade and transportation sectors. The Central Lombok PUPR Service has duties regulated in government regulation number 38 of 2007 regarding the division of government affairs between the provincial government and district/city regional governments. In accordance with regional regulation number 11 of 2016 concerning the formation and composition of the regional apparatus of the NTB province, the position of the public works and spatial planning office of the NTB province has the task of assisting the governor in carrying out regional government affairs in the field of public works and spatial planning geographic information system design for road mapping at the PUPR Service. make it easier for officers to check the road. It is hoped that this system can improve data management, so as to create quality road construction in the Central Lombok Regency area.
ANALISIS SENTIMEN WISATA AIR TERJUN DI KABUPATEN LOMBOK TENGAH MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM) M. Syamsul Hadi; Jihadul Akbar; Muhammad Fauzi Zulkarnain
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 8 No 2 (2025): Jurnal SKANIKA Juli 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v8i2.3578

Abstract

The tourism potential of waterfalls in Central Lombok Regency is quite prominent; however, it has not been fully optimized. With the advancement of digital technology, user reviews on online platforms can serve as valid indicators to assess the quality of a tourist destination. This study aims to analyze the sentiment of visitor reviews regarding waterfall tourist attractions using the Support Vector Machine (SVM) algorithm. Data were collected through web scraping from Google Maps, then processed through several preprocessing stages, automatically labeled using IndoBERT, and features were extracted using the TF-IDF method. A total of 1,250 reviews were analyzed and classified into three sentiment categories: positive, neutral, and negative. Three types of SVM algorithms were tested: LinearSVC, RBF kernel, and Polynomial kernel. Based on the results, LinearSVC achieved the best performance with an accuracy of 84% and an F1-score of 86%. These findings indicate that a machine learning-based approach, particularly SVM, is highly effective in automatically and systematically identifying visitor perceptions. The resulting data may also serve as a reference in developing tourism policies grounded in empirical evidence.
Analisis Sentimen Berbasis Aspek pada Ulasan Google Maps Sirkuit Mandalika Menggunakan IndoBERT dan Model Klasik Muhammad Faozi; Jihadul Akbar; Baiq Yulia Fitriyani
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 5 (2026): September : Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Inf
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i5.1555

Abstract

The Pertamina Mandalika International Circuit is a major tourism destination in Lombok. This study develops an aspect-based sentiment analysis (ABSA) system extracting sentiment from 1,772 valid Google Maps reviews filtered from 4,671 raw reviews, covering nine aspects defined via topic modeling and keyword validation. A two-stage IndoBERT pipeline is applied with Focal Loss, mean pooling, a differential learning rate, Back-Translation augmentation, and 5-fold cross-validation with per-aspect threshold tuning. The final model achieves a macro-F1 of 0.882 for aspect detection (accuracy 0.976; exact match accuracy 82.58%; hamming loss 0.024) and a macro-F1 of 0.87 for sentiment classification. Against classical TF-IDF baselines, IndoBERT (macro-F1 0.882) outperforms a linear Support Vector Machine (0.727) and Logistic Regression (0.711) on aspect detection, though a McNemar test shows the gap versus SVM is not statistically significant (p = 0.104), while the gap between SVM and Logistic Regression is significant (p = 0.001). Because labels are produced via weak supervision, additional validation is conducted using human annotation on 313 reviews (17.7% of the data); inter-annotator agreement (Cohen's Kappa) for aspect detection is very low (κ = 0.159), indicating that weak-supervision metrics may not directly reflect ground-truth sentiment accuracy. Venue (41.5%), Scenery (29.9%), and Organization (18.4%) are the most frequently discussed aspects in the reviews. The findings are translated into an actionable promotion strategy matrix, though larger-scale human validation remains necessary before direct application.
Co-Authors Abdulrahmat E Ahmad Ainul Yaqin Anggraeni, Renny Ashary, Asyim Ayu Lestari Baiq Yulia Fitriyani Betty Indah Mawarti Ema Utami Fadli, Sofiansyah Fahmi, Hairul Firman Maulana, Firman Gunawan Efendi Hairul Fahmi Herin Husti Istyarini Ihza dirgantara aji Jayadi, Herman Lalu Mutawalli Lisa Ria Fitriani M. Syamsul Hadi Maemun Saleh Mansur Mansur Mansur Mansur Mansur, M. Hafifuddin Muhammad Faozi Muhammad Fauzi Zulkarnain Saikin Saleh, Mamun Sofiansyah Fadli Tamaulina Br Sembiring Tamrizal A. M. Wafiah Murniati Wire Bagye Yefta Tolla Yulistira, Siti