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All Journal IPTEK Journal of Proceedings Series Gaung Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Pseudocode CESS (Journal of Computer Engineering, System and Science) Tekinfo | Scientific Journal of Industrial and Information Engineering PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Informatika Kaputama (JIK) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JURNAL PENELITIAN EKONOMI DAN AKUNTANSI (JPENSI) Go Infotech: Jurnal Ilmiah STMIK AUB Risenologi Jurnal Pengabdian Masyarakat Multidisiplin jurnal syntax admiration JoMMiT : Jurnal Multi Media dan IT Jurnal Pengabdian Masyarakat Sains dan Teknologi Engineering and Technology International Journal (EATIJ) Jurnal Ilmiah Teknik Informatika dan Komunikasi At-Tadzkir: Islamic Education Journal Abdimas Mandalika SmartComp Jurnal Asosiatif LANCAH Jurnal Inovasi dan Tren Go Infotech: Jurnal Ilmiah STMIK AUB Jimstek
Khusnuliawati, Hardika
Universitas Sahid Surakarta
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Evaluasi Kualitas Sistem Informasi Usulan Formasi Aparatur Sipil Negara Berbasis CodeIgniter Menggunakan E-GovQual Arsaela Astikasari; Sri Huning Anwariningsih; Hardika Khusnuliawati
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 14 No 1 (2025)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v14i1.2771

Abstract

The submission of proposals for Civil Servant (ASN) positions in Klaten Regency has been done manually so far, resulting in an inefficient data management process across various Regional Government Organizations, prone to input errors, and complicating the data validation, monitoring, and recapitulation processes. This research aims to develop an ASN Formation Needs Proposal Information System, which simplifies the management of employee formation proposals by providing employee data, job requirements, and retirement projections based on Job Analysis and Workload Analysis, and to evaluate its quality. The system development method employs a waterfall approach, comprising the stages of requirements analysis, system design, implementation (coding), system testing, and maintenance. The results of system testing with E-GovQual on the variables (Efficiency, Trust, Reliability, and Citizen Support) indicate that all instrument items are deemed valid and reliable, with Cronbach's Alpha values for each variable exceeding 0.7. From the E-GovQuav testing, it was found that attributes EF3, TRS2, RLB5, and CS2 were identified as the most influential factors on system quality. This research suggests that this system can assist Regional Apparatus Organizations in structuring their proposals for staffing needs and enable the Personnel and Human Resources Development Agency (BKPSDM) to verify, analyze, and recapitulate data on staffing needs proposals more efficiently and accurately. This system can be an optimal solution in supporting transparency and accuracy in managing ASN staffing needs proposals in Klaten Regency
Psychologically Informed Instagram Marketing Analytics Pipeline Using Funnel Metrics and Multi-Criteria Decision Analysis: A Daycare Case Study Hardika Khusnuliawati; Anniez Rachmawati Musslifah; Rusnandari Retno Cahyani
LANCAH: Jurnal Inovasi dan Tren Vol. 4 No. 2 (2026): NOVEMBER
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ljit.v4i2.8504

Abstract

Micro-scale social media accounts often lack sufficient observations for predictive analytics but still require defensible content and campaign decisions. This design-science proof of concept develops an Instagram marketing analytics pipeline combining funnel ratios, CRITIC weighting, TOPSIS ranking, and full-range weight sensitivity analysis (FRWSA). The pipeline was applied to ten complete-case organic posts and three advertising campaigns from an Indonesian Islamic Montessori daycare account. For organic posts, CRITIC assigned weights of 0.2764 to reach efficiency, 0.3887 to engagement rate, and 0.3349 to follow conversion. TOPSIS ranked the Thursday 04:02 post first with a closeness coefficient of 0.7503, while FRWSA found it dominant in 59.74% of 231 weight vectors. For advertising campaigns, equal weights were used because correlation-based weighting was unsuitable for only three alternatives. The 22–27 November 2025 campaign achieved a TOPSIS score of 1.0000 and ranked first across all 1,771 weight vectors, reflecting Pareto dominance rather than causality. Psychological and consumer-behaviour theory informs the ordering of criteria by behavioural commitment, but no psychological state is measured or inferred. The study contributes a transparent decision-support pipeline for data-scarce social media accounts.
Co-Authors Agung Yusup Nugroho Alfiyanus Shaf’at Anjarwani, Siti Muslikhah Anniez Rachmawati Musslifah Arsaela Astikasari Astri Charolina Bayu Ismunandar Chastine Fatichah Christian Roy Purnama Dahlan Susilo Devi, Anita Oktaviana Trisna Dhian Riskiana Putri Dhian Riskiana Putri Dippo Ardy Wibowo Diyah Ruswanti Dwi Retnoningsih Fauzan Imam Firdhaus Hari Saputro Al Haris Fitriyadi, Farid Fitriyadi, Farid Hellen Marlina Hernanjaya, Arif Nugraha Iqbal Aditya Ferryanto Lathif Huda Marlina, Hellen Muhamad Ahyar Yogi Wibisono Muhammad Azhari Muhammad Syahrul Haniawan Mursyid, Chasmim Rohmadhan Nur’Afnida, Widya Prihatini, Prima PUSPITA, DEVIANA Putra, Taufiq Dio Eka ricky dwi saputro Saputro riskiana, dhian Rully Soelaiman Rusnandari Retno Cahyani Ruswanti, Diyah Setiawan, Gigih Siti Muslikhah Anjarwani Sri Huning Anwariningsih Sukmanaji Sukmanaji Taufiq Dio Eka Putra Wahyu Nugroho Yoga Gemilang Kurniawan Yudi Setiawan