Garuda - Garba Rujukan Digital

Unlocking the Potential of OLT for Startup ISPs in Indonesia: Challenges and Strategies Mustofa, Dinar; Saputra, Dhanar Intan Surya; Kusuma, Velizha S; Aminuddin, Afrig; Wirasto, Anggit; Apitiadi, Satyo Dwi
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.943

This study explores the implementation of Optical Line Terminal (OLT) technology by Internet Service Providers (ISPs) startups in underserved and remote areas of Indonesia, examining its effectiveness, challenges, and opportunities. The research reveals that OLT technology can significantly improve internet service quality, with measurable increases in speed (up to 30%) and reliability (20% improvement), especially in rural areas. However, ISP startups face several technical challenges, including inadequate fiber optic infrastructure, high initial investment costs, and the complex geographical conditions across Indonesia’s diverse islands. Regulatory barriers, such as lengthy licensing processes and inconsistent policies, further hinder the deployment of OLT technology. Despite these challenges, the study identifies key opportunities for ISP startups to overcome these obstacles. Collaboration with government initiatives like the Palapa Ring and the potential integration with 5G and IoT technologies can reduce costs and accelerate network deployment. Additionally, leveraging existing infrastructure enables faster expansion of broadband services, particularly in remote regions. The research also finds that ISP startups adopting OLT technology can significantly narrow the digital divide by expanding service coverage in underserved areas, with a noted 25% increase in digital inclusion. These findings offer valuable insights for policymakers and business leaders, informing strategies to optimize OLT technology and foster a more equitable digital transformation across Indonesia, particularly in expanding access to broadband internet in marginalized regions.

ANALISIS KEAMANAN APLIKASI BERBASIS WEB DI UNIVERSITAS HARAPAN BANGSA MENGGUNAKAN PTES Wirasto, Anggit; Mustofa, Dinar
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 8 No 3 (2023): JII Volume 8, Number 3, September 2023
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37159/jii.v8i3.32

Instansi pemerintahan dan institusi pendidikan telah menjadi target utama dari serangan siber. Serangan yang berhasil dapat memberikan kerugian bagi instansi yang menjadi target. Perlu dilakukan suatu tindakan analisis keamanan aplikasi berbasis web secara rutin sebagai wujud tindakan pencegahan. Penelitian ini melakukan tindakan analisis keamanan aplikasi berbasis web pada institusi pendidikan menggunakan metode Penetration Testing Execution Standard dan aplikasi free and open source Amass, Sudomy, dan OWASP ZAP. Hasil penelitian adalah ditemukannya potensi celah keamanan pada sistem informasi yang terpasang di Universitas Harapan Bangsa, serta tindakan yang dapat dilakukan sebagai upaya pencegahan.

Klasifikasi Jenis Sampah Berbasis Convolutional Neural Network dengan Optimasi Hyperparameter Tuning Arsitektur Mobilenet Kuncoro, Dimas Febri; Wirasto, Anggit; Triwibowo, Deny Nugroho
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp130-144

Waste management in Indonesia faces significant challenges with an increasing volume reaching approximately 175,000 tons per day. Public awareness of the dangers associated with improper waste disposal remains low, as many continue to litter indiscriminately. Waste sorting is the most effective method, involving separation based on waste types. Manual waste sorting is nonetheless inefficient, as it requires large spaces, substantial labor, and is prone to errors. This study aims to develop a waste classification model based on Convolutional Neural Network (CNN) with hyperparameter tuning optimization for the MobileNet architecture. The research adopts the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology and utilizes datasets from three waste categories organic, inorganic, and hazardous and toxic materials (B3) sourced from open Kaggle datasets. Model training was conducted using the MobileNet architecture with hyperparameter tuning optimization and resulting in optimal parameters Adam optimizer, learning rate of 0.01, batch size of 32, and 256 neurons. The results show that the model achieved 96% accuracy before optimization which increased by 2% to 98% after optimization. The model demonstrated high computational efficiency with the number of floating-point operations per second reaching 1.146 GFLOPS.

ANDROID-BASED EMPLOYEE DATA INFORMATION AND SALARY VERIFICATION SYSTEM Nurdhini, Gina; Sukma Indrayana, Andri; Wirasto, Anggit
ADVANCE INFORMATICS RESEARCH JOURNAL Vol. 1 No. 2 (2025): Advanced Informatics Research
Publisher : LKP Tematik Aperta Nusantara

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

Piranti Teknik Indonesia is engaged in manufacturing which produces wiring harnesses for motorcycles and others. This company is one of the companies that joined the Banshu Group or known as Banshu Electric Indonesia. PT. Piranti Teknik Indonesia is one that uses a computerized but simple payroll system, but in the salary complaint system it is still done manually, so the data processing is experiencing obstacles. If this problem is allowed to continue it will result in the work system being less effective. So we need a system that is able to provide convenience in managing salary data efficiently. For this reason, the author will design an android-based information system that will facilitate the process of complaining about salary data by using a computerized system and data base as storage media, so that data will not be lost or damaged. With the construction of an Information System, the payroll process will no longer be hampered, because this system is designed to build a work system that is more effective, fast and accurate. If this research is successful, it will produce a system that is able to help provide convenience for both parties, so that it can be expected that later it will simplify and speed up the service process, data storage and, as well as the restatement of the data.

Klasifikasi Jenis Sampah Berbasis Convolutional Neural Network dengan Optimasi Hyperparameter Tuning Arsitektur Mobilenet Kuncoro, Dimas Febri; Wirasto, Anggit; Triwibowo, Deny Nugroho
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp130-144

Waste management in Indonesia faces significant challenges with an increasing volume reaching approximately 175,000 tons per day. Public awareness of the dangers associated with improper waste disposal remains low, as many continue to litter indiscriminately. Waste sorting is the most effective method, involving separation based on waste types. Manual waste sorting is nonetheless inefficient, as it requires large spaces, substantial labor, and is prone to errors. This study aims to develop a waste classification model based on Convolutional Neural Network (CNN) with hyperparameter tuning optimization for the MobileNet architecture. The research adopts the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology and utilizes datasets from three waste categories organic, inorganic, and hazardous and toxic materials (B3) sourced from open Kaggle datasets. Model training was conducted using the MobileNet architecture with hyperparameter tuning optimization and resulting in optimal parameters Adam optimizer, learning rate of 0.01, batch size of 32, and 256 neurons. The results show that the model achieved 96% accuracy before optimization which increased by 2% to 98% after optimization. The model demonstrated high computational efficiency with the number of floating-point operations per second reaching 1.146 GFLOPS.

Pregnant Women's Experiences Using a Mobile Application for Iron Supplementation Adherence: A Phenomenological Approach Dewi, Arlina; Wirasto, Anggit; Dewi, Trisna Setya
Unnes Journal of Public Health Vol. 13 No. 2 (2024)
Publisher : Universitas Negeri Semarang (UNNES) in cooperation with the Association of Indonesian Public Health Experts (Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI))

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujph.v13i2.2758

Iron deficiency anemia is a significant global public health concern that disproportionately affects young children and pregnant women. One effective method for monitoring medication in pregnant women is through mobile applications. This study aims to investigatepregnant women’s experience with iron supplementation adherence management using amobile application. A qualitative study with a phenomenology approach was conductedamong 20 pregnant women and midwives. The qualitative method was used to explore participants’ experience using a maternal application called “MySmart Bumil” to improvepregnant women’s adherence to iron supplements. The study identified four themes: the factors of non-compliance, the motivation for taking iron supplements, and the benefits andthe weaknesses of using the application. Mobile app reminders can help pregnant womencheck medication frequency, remind them to take iron tablets, and build more consistentmedication habits. However, some pregnant women found that the reminder was ineffective. Pregnant women thought that the notifications should have alarms to be more effective. The mobile application has the potential to assist health providers in effectively monitoring the health state of pregnancy and improving adherence to iron supplementation

Pengembangan Jaringan Internet dalam Mendukung Pembelajaran di SD Negeri 2 Kebondalem Mustofa, Dinar; Prayoga, Agung; Pandega, Dimas Marsus; Wirasto, Anggit; Saputra, Dhanar Intan Surya
Jurnal Pengabdian Masyarakat - PIMAS Vol. 3 No. 2 (2024): Mei
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v3i2.1423

Perkembangan teknologi informasi dan komunikasi yang pesat saat ini telah memberikan dampak signifikan pada berbagai aspek kehidupan manusia, termasuk dalam bidang pendidikan. SDN 2 Kebondalem, sebuah Lembaga Pendidikan Negeri di Kabupaten Banjarnegara, menghadapi keterbatasan akses internet di wilayah pedesaan tempat sekolah berada. Meskipun telah menerapkan jaringan internet, cakupannya saat ini terbatas pada bagian TU dan Ruang Guru. Keterbatasan ini menghambat guru dalam mengakses materi pembelajaran dan modul, menghambat proses pembelajaran di sekolah tersebut. Kegiatan Pengabdian pada masyarakat ini bertujuan untuk mengembangkan jaringan internet di seluruh area sekolah guna mendukung proses pembelajaran di SDN 2 Kebondalem. Perbaikan ini diharapkan dapat mempermudah pertukaran data, meningkatkan efisiensi penggunaan perangkat, serta meningkatkan kapasitas guru dan siswa melalui penerapan sistem pembelajaran daring.

Students' Self-Assessment in Writing Class Krisbiantoro, Benny; Soali, Muhammad; Wirasto, Anggit
J-LEE - Journal of Law, English, and Economics Vol. 4 No. 2 (2022): DESEMBER
Publisher : LPPM Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/j-lee.v4i02.979

The educational literature has devoted considerable focus to the pedagogical utility of rubrics in encouraging student learning and facilitating instructor feedback on student performance. However, there is little study on students' usage of self-assessment criteria in a context including a second or foreign language, and even less research has looked into the variables that affect the usefulness of the assessment criteria. The study aimed to investigate (1) how students perceive the rubric's function in evaluating their writing skills.; (2) according to the students, what factors affected the rubric's effectiveness for self-evaluation in the writing class? Forty students of the tenth grade of SMK Kesatrian Purwokerto got involved in this study. The researchers employed a self-assessment rubric and students’ reflective journals to collect the data. The findings of this study were that by helping students to set goals, make plans, keep an eye on themselves, and do reflection, rubrics were beneficial in fostering students' self-learning in writing skills. Rubric factors and users impacted the efficiency of the rubric for learner self-evaluation.

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