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Raden Herdian Bayu Ash Siddiq
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JITTER (Jurnal Ilmiah Teknologi Informasi Terapan)
Published by Universitas Widyatama
ISSN : 26860333     EISSN : 24073911     DOI : https://doi.org/10.33197/jitter.vol4.iss3.2018.16
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Jurnal Ilmiah Teknologi Informasi Terapan (JITTER) adalah jurnal ilmiah yang diterbitkan oleh Universitas Widyatama, Bandung. Jurnal ini diterbitkan sebagai wahana sosialisasi dan diseminasi hasil penelitian bagi kalangan akademisi maupun masyarakat luas, pada bidang teknologi informasi dan terapannya. Bidang kajian dicakup meliputi sistem informasi, ilmu komputer, jaringan komputer, basis data, kecerdasan buatan, juga beberapa bidang teknik lainnya seperti Teknik Sipil, Teknik Mesin, Teknik Elektro dan Teknik Industri.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 335 Documents
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The Tempat Sampah Pintar Berbasis Arduino Uno Untuk Madrasah Nurul Iman Muhammad Haydar Al Ghifary; Arif Rosyid Prasetyio; Komarudin Purnama; Muhammad Hasby Fathurrizqi
Jurnal Ilmiah Teknologi Infomasi Terapan (JITTER) Vol. 10 No. 1 (2023)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol10.iss1.2023.1397

Abstract

A trash can is a place to temporarily store trash, which is usually made of plastic. The way trash cans work is generally quite simple, namely by putting trash in the head of the can. This did not entice the Nurul Iman Madrasah students to throw garbage in the trash and litter the environment around the madrasa. Not to mention, when opening a trash can, you have to use your hands, so the head of the trash can becomes unhygienic and can increase the potential for spreading disease or viruses. For this reason, by adding some technology to a trash can, the trash can can be transformed into a "smart trash can." It is hoped that this can make the activity of disposing of trash even more interesting and more hygienic because children only need to approach the trash can and the trash can will open by itself. The technology used is the Arduino microcontroller, which is the brain of this system, and the HC-SR04 sensor, an ultrasonic sensor.
PENGUNCI DINDING BATA RINGAN DENGAN BAJA TULANGAN POLOS Muhammad Andika Ghifary; Pratikto; Anni Susilowati
Jurnal Ilmiah Teknologi Infomasi Terapan (JITTER) Vol. 10 No. 1 (2023)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol10.iss1.2023.1410

Abstract

Sebagian besar daerah Indonesia ialah wilayah rawan gempa. Oleh Sebab itu, diperlukan adanya inovasi atau pengembangan pada material bangunan untuk mengurangi keruntuhan yang akan terjadi akibat gempa. Salah satunya yaitu pengembangan material dalam pembuatan dinding bangunan. Dari inovasi-inovasi dan perkembangan material dalam pembuatan dinding tersebut, terciptalah penelitian tentang perkembangan material dengan cara menambah perkuatan pada dinding. Salah satunya adalah penelitian tentang bata interlock. Dilakukanlah penelitian mengenai penggunaan baja tulangan sebagai pin atau pengait pada dinding interlock. Tujuan dari penelitian ini yaitu untuk menentukan ukuran pin yang optimum pada bata ringan dan menganalisis pengaruh kuat geser pada dinding bata ringan interlock sesuai dengan ketentuan SNI 8640:2018. Penggunaan baja tulangan sebagai pin untuk dinding bata ringan interlock ini menggunakan 5 variasi; yaitu tidak memakai tulangan, memakai tulangan Ø8 mm dengan kedalaman penetrasi 4 cm, memakai tulangan Ø10 mm dengan kedalaman penetrasi 4 cm, memakai tulangan Ø8 mm dengan kedalaman penetrasi 3 cm, dan memakai tulangan Ø10 mm dengan kedalaman penetrasi 3 cm. Untuk nilai kuat geser pada penggunaan baja tulangan di bata ringan cenderung mengalami kenaikan dari bata ringan yang tidak menggunakan baja tulangan. Diperoleh penggunaan baja tulangan yang optimum pada penggunaan tulangan dengan variasi ukuran Ø10 mm dan kedalaman penetrasi tulangan pada bata ringan sedalam 3 cm karena memiliki nilai kuat geser paling tinggi yaitu sebesar 1,26 Mpa.
The ANALISIS BUFFER STOCK BARANG DAGANG DENGAN NILAI BIAYA TERTINGGI UNTUK PEMENUHAN PERSEDIAAN: Ind Miftahu Babil Yasari Babil
Jurnal Ilmiah Teknologi Infomasi Terapan (JITTER) Vol. 10 No. 1 (2023)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol10.iss1.2023.1510

Abstract

Menjadi pemasok pada suatu klinik persalinan harus selalu siap memasok semua barang yang diminta oleh klinik tersebut. Permasalahan yang dihadapi sebagai pemasok adalah tidak adanya ketentuan berapa jumlah persediaan barang harus harus ada dalam gudang, dimana selama ini pembelian barang dilakukan apabila ada permintaan. Dari hal ini membuat pencarian barang yang diminta menjadi tidak terlaksana dengan baik sehingga terkadang ada keterlambatan pengiriman dari waktu yang diperlukan. Dalam penelitian kali ini digunakan suatu metoda penentuan persediaan yaitu dengan buffer stock (stok cadangan) dan reorder point (pembelian kembali) dengan didahului analisa nilai tertinggi dari barang menggunakan metoda ABC. Hasil dari proses tersebut didapat 10 (sepuluh) item barang yang dijadikan prioritas agar persediaanya menjadi perhatian dengan jumlah barang yang sesuai perhitungan buffer stock dan reorder point
PENERAPAN KONSEP BIG DATA UNTUK OPTIMALISASI MANAJEMEN ASET DI PT POS INDONESIA Muhammad Ruslan Maulani; Iwan Setiawan; Marwanto Rahmatuloh
Jurnal Ilmiah Teknologi Infomasi Terapan (JITTER) Vol. 10 No. 2 (2024)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol10.iss2.2024.1528

Abstract

Penelitian ini bertujuan untuk menerapkan konsep Big Data dalam rangka mengoptimalkan manajemen aset di PT Pos Indonesia. PT Pos Indonesia perlu mengadopsi teknologi Big Data untuk mengumpulkan, mengelola, dan menganalisis data yang dihasilkan oleh berbagai sumber. Metode penelitian yang digunakan dalam penelitian ini adalah Scrum, sebuah kerangka kerja pengembangan perangkat lunak yang berfokus pada fleksibilitas dan kolaborasi tim. Penelitian ini melibatkan beberapa tahapan. Pertama, dilakukan analisis kebutuhan dan identifikasi aset yang perlu dioptimalkan. Selanjutnya, dilakukan pengumpulan data dari berbagai sumber seperti sistem manajemen aset. Data yang dikumpulkan kemudian diproses dan disimpan dalam infrastruktur Big Data yang sesuai. Selanjutnya, menggunakan metode Scrum, tim peneliti dan stakeholder terlibat dalam proses pengembangan solusi Big Data. Sprint-sprint pendek dilakukan untuk mengimplementasikan dan menguji berbagai komponen sistem, seperti platform pengumpulan data, algoritma analisis, dan visualisasi hasil. Iterasi secara teratur memungkinkan penyesuaian dan perbaikan berkelanjutan sesuai dengan umpan balik yang diberikan oleh tim dan pemangku kepentingan. Hasil dari penelitian ini adalah prototype aplikasi dan penerapan konsep Big Data yang diimplementasikan dalam aplikasi manajemen aset di PT Pos Indonesia. Dengan mengoptimalkan penggunaan data, PT Pos Indonesia dapat meningkatkan efisiensi operasional, memperbaiki pengambilan keputusan berdasarkan analisis data yang lebih akurat.
Perencanaan Penjadwalan Preventive Maintenance Mesin Jet Dyeing Menggunakan Pendekatan Critical Path Method di PT XXX Alifah Nur Astari; Tiaradia Ihsan; Teten Hidayat
Jurnal Ilmiah Teknologi Infomasi Terapan (JITTER) Vol. 10 No. 1 (2023)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol10.iss1.2023.1534

Abstract

Jet Dyeing Machine is a machine used in the textile industry to dye fabric materials with efficiency and large-scale production capacity. PT XXX faces a high frequency of damage and total lost time on several components of production machines, so proper maintenance and maintenance in accordance with standards needs to be carried out to reduce the frequency of damage and total lost time and extend the service life of components. The CPM approach can help in creating an effective maintenance and maintenance schedule so that production can run smoothly and efficiently. This study aims to plan maintenance schedules and preventive maintenance on production machines at PT XXX using the CPM approach. The results of the analysis show that routine maintenance and maintenance of machine components is very important to reduce the frequency of damage and total lost time that can have an impact on production losses. The maintenance schedule must be considered carefully so as not to interfere with production and not to interfere with the performance of the machine and maintenance personnel must have adequate knowledge and skills to carry out maintenance and maintenance properly in accordance with the established SOP. Total losses due to wasted lost time can be reduced by 24% from the original. Repair and replacement of components that often experience damage need to be done to reduce the frequency of damage and total lost time on PT XXX production machines
ANALISIS DAMPAK MODIFIKASI BUTIR SOAL BERDASARKAN TAKSONOMI BLOOM TERHADAP TINGKAT KEYAKINAN CHATGPT DENGAN PENDEKATAN GENETIKA Frinandi Wandria
Jurnal Ilmiah Teknologi Infomasi Terapan (JITTER) Vol. 10 No. 1 (2023)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol10.iss1.2023.1536

Abstract

In its mission to provide benefits to humanity through artificial intelligence, the OpenAI company continues to develop artificial intelligence technology innovations that focus on the language development model: ChatGPT. As of February 2023, OpenAI has more than 100 million users with an estimated 1.8 billion ChatGPT visits every month which beats TikTok and Instagram. This innovation helps users get answers based on the commands entered. The presence of technological innovation throughout history has had a positive impact on developments in various fields, including education. However, negative impacts also exist side by side and have become topics of discussion in various media. One study found that ChatGPT can help complete essay writing assignments in language subjects. This certainly has an impact on students losing opportunities to hone their cognitive abilities to create written works through language development exercises. To reduce the negative impact of this technological innovation, it is necessary to carry out mitigation efforts which are expected to reduce students' dependence on using ChatGPT to complete their assignments at school. One effort that can be made is by modifying the question items by educators which can reduce ChatGPT's level of confidence in the answers given. To achieve this aim, this research took samples from the essay questions for the English class 12 high school exams. Through the Genetic Approach, each question item will be modified based on the selection of operational verbs from Bloom's Taxonomy until an operational verb (KKO) is found that is able to reduce ChatGPT's level of confidence in answering the question item. The Genetics Approach begins with the stages of population determination, namely the essay questions mentioned above, and chromosome determination, namely KKO at cognitive levels based on Bloom's Taxonomy. Next is the stage of determining the level of confidence through commands entered into ChatGPT after the answers to the modified question items are produced. If the level of confidence is still high, a crossover stage will be carried out by taking KKO at different cognitive levels until a lower level of confidence is obtained. The results of the modification of the question items have shown a decrease in the average level of ChatGPT confidence in the answers produced from 0.91 to 0.65. The chromosomes (KKO) that have been tested can reduce the level of confidence, including generate, design, arrange, distinguish, organize, examine, formulate and sketch. Combining and crossing over chromosomes in each question item has a stronger effect on reducing the confidence level of ChatGPT compared to questions that only contain one chromosome in a question item. Keywords: ChatGPT, Bloom’s Taxonomy Keywords, Bloom’s Taxonomy, Genetic Approach
PEMANFAATAN SUBSTITUSI SLAG WELDING SAW SEBAGAI AGREGAT KASAR PADA BETON Lilis Tiyani; Sukarman; Andika Sastro Widjoyo
Jurnal Ilmiah Teknologi Infomasi Terapan (JITTER) Vol. 10 No. 1 (2023)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol10.iss1.2023.1542

Abstract

This research, steel welding waste called slag welding SAW was used as a substitute for coarse aggregate in concrete with a content of 50%. This study aims to determine the utilization of SAW welding slag waste as a substitute for coarse aggregate concrete by testing the compressive strength, tensile strength, and flexural strength. The concrete mix design plan uses quality of 25 MPa, using SNI 2834-2000. The specimens for testing the compressive strength of normal concrete and concrete slag welding SAW at the age of 14, 21, and 28 days totaling 18 cubes with a size of 15 x 15 x 15 cm, testing the tensile strength of concrete slag welding SAW at the age of 28 days totaling 2 shapes cylinder with a size of 30 x 15 cm, as well as testing the flexural strength of concrete slag welding SAW at the age of 28 days totaling 2 blocks with a size of 50 x 10 x 10 cm. Slump test of fresh concrete design (60-180) mm. The average compressive strength test results for normal concrete at 28 days were 16,465 MPa. The results of the average compressive strength test of concrete slag welding SAW at 28 days were 15,518 MPa. The average tensile strength test results of slag welding SAW concrete at 28 days were 1.36 MPa. The average flexural strength test results of slag welding SAW concrete at 28 days were 1.17 MPa.
Rancangan Aplikasi Smart-Senyum Untuk Deteksi Dini Kesehatan Mental Nawindah Nawindah; Setiawati Intan Savitri; Retno Wulandari
Jurnal Ilmiah Teknologi Infomasi Terapan (JITTER) Vol. 10 No. 1 (2023)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol10.iss1.2023.1577

Abstract

Mental health for teenagers needs attention, especially for students with non-formal education (Sanggar Kegiatan Belajar 26 Bintaro). Everyday problems, at school and at work, are triggers for students to experience mental health problems. Mental health education is very necessary, considering that there are no mental health services and no guidance and counseling teachers, as well as tools to help carry out early detection. The design of the Smart-smile application was built using a prototype method to help carry out early detection. The measuring tool used in screening is the Self Reporting Questionnaire-20 (SRQ-20). By using the Smart Smile application, early detection of mental health can be easily done.
Daftar Isi, Halaman Dewan Redaksi dan Halaman Pengantar Raden Herdian Bayu Ash Shiddiq
Jurnal Ilmiah Teknologi Infomasi Terapan (JITTER) Vol. 10 No. 1 (2023)
Publisher : Universitas Widyatama

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

Abstract

Daftar Isi, Halaman Dewan Redaksi dan Halaman Pengantar
MEMANFAATKAN MODEL SARIMA DAN REGRESI VEKTOR UNTUK PRAKIRAAN CURAH HUJAN BULANAN DI KOTA BANDUNG Astri Nur Innayah; Dwi Intan Sulistiana; M. Yandre Febrian; Fitri Kartiasih
Jurnal Ilmiah Teknologi Infomasi Terapan (JITTER) Vol. 10 No. 2 (2024)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol10.iss2.2024.1663

Abstract

As one of the largest cities in Indonesia, Bandung has varying monthly rainfall intensity. High rainfall is very dangerous for people's lives and will have an impact on various sectors such as agriculture, fisheries, tourism, and transportation. For this reason, rainfall prediction is needed as an effort for the government to make policies and the community can anticipate the possibility of high rainfall that occurs. This study compares the effectiveness of SARIMA and Support Vector Regression (SVR) models in predicting monthly rainfall objectively, with the aim of improving decision making for stakeholders. Forecasting rainfall data is carried out based on the best method of the two methods that have been compared. The results showed that the SARIMA method outperformed the SVR method in forecasting precision, as seen from the lower RMSE value of 93.2045. The results provide valuable insights into weather prediction methodologies, benefiting authorities and the public.

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