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Fakultas Teknologi Informasi dan Komunikasi, Universitas Semarang, Jl. Soekarno-Hatta Tlogosari Semarang, Central Java, Indonesia
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Jurnal Transformatika
Published by Universitas Semarang
ISSN : 16933656     EISSN : 24606731     DOI : https://doi.org/10.26623/transformatika
Core Subject : Science,
Computer Science & IT
Transformatika is a peer reviewed Journal in Indonesian and English published two issues per year (January and July). The aim of Transformatika is to publish high-quality articles of the latest developments in the field of Information Technology. We accept the article with the scope of Information Systems, Web Technology, Computer Networks, Artificial Intelligence, and Multimedia.
Arjuna Subject : -
Articles 344 Documents
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Sistem Informasi Rektrutmen Calon Perangkat Desa sebagai Ruang Partisipasi Warga dan Pemerintah Desa Cangkring Rembang Karanganyar Demak nurkamid, mukhamad -
Jurnal Transformatika Vol. 17 No. 1 (2019): July 2019
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i1.1424

Abstract

he purpose of this research is to find out the description of the prospective village apparatus recruitment system applied to the Cangkring Rembang village government system, to analyze the recruitment system of village apparatuses that are applied for system development in the form of web-based candidate village recruitment information system design. This research was conducted in the village of Cangkring Rembang, Karanganyar District, Demak. Cangkring Rembang Demak village government in carrying out its duties, principal and government functions is one of them is the process of recruiting prospective village officials is still done manually. With manual systems documents can be lost, damaged and stored in several different storage spaces. In addition, the verification process for prospective applicant data takes a long time. Another disadvantage, if the document is needed at any time for public publication needs is not recorded properly so that it can not be used as decision making quickly. The application development method uses the waterfall approach. The results of this study are a system of recruiting prospective village officials who can provide alternatives (solutions) for prospective applicants, especially in the process of recruiting prospective village officials. With the development of a web system, in addition to documents, it is easier to store in the online storage space, organizing recruitment of prospective village officials can run transparently and participatively. A participatory government system shows open governance, one of which is by providing various information that can be accessed by every citizen
PREDIKSI KELULUSAN MAHASISWA MENGGUNAKAN ALGORITMA C 4.5 DENGAN FITUR SELECTION CHI SQUARE Darmaputra, Mochamad Fadjar
Jurnal Transformatika Vol 17, No 1 (2019): July 2019
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i1.1046

Abstract

Prediksi masa studi diperlukan oleh manajemen universitas dalam menentukan kebijakan preventif terkait dengan pencegahan sejak awal kasus DO (Drop Out) Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi akademik pada siswa tersebut agar dapat lulus tepat waktu atau tidak, dan membangun model prediktif terbaik dengan teknik data. Kriteria pemilihan model penambangan yang digunakan adalah fitur pemilihan metode chi-square. Algoritma C4.5 yang dihasilkan oleh masa studi dipengaruhi oleh indeks prestasi semester, jumlah kursus yang diulang, kursus yang diambil dan pemotretan subjek tertentu.Oleh karena itu faktor - faktor ini dapat digunakan sebagai evaluasi bagi pengelola perguruan tinggi. Kata Kunci= Chi Square, C 4.5, prediksi, mahasiswa, data minin
Pembelajaran Text Preprocessing berbasis Simulator Untuk Mata Kuliah Information Retrieval Hermawan, Latius; Bellaniar Ismiati, Maria
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1705

Abstract

Preprocessing is an important task and step in Information Retrieval. Information Retrieval (IR) is used to decide which documents in a collection must be taken to meet the user's information needs. The comparison is done in 4 steps in preprocessing, namely Case folding, Tokenizing, Filtering, Stemming.All stages of the preprocessing are done manually during the teaching-learning process. The lecturer explained by writing and explaining one by one the correct words at each stage and students also manually reviewed each stage. Simulator is needed to help solve existing problems. The simulator has been successfully created by displaying 6 menus. The simulator has succeeded in outputting each stage according to the manual theory. From the results of the testing questionnaire,> 90% of respondents thought that using this simulator made it easier to work on the four stages of text pre-processing so that the time needed also became efficient.
ANALISA PREDIKSI MAHASISWA DROP OUT MENGGUNAKAN METODE DECISION TREE DENGAN ALGORITMA ID3 dan C4.5 Haidar, Laksamana Rajendra; Sediyono, Eko; Iriani, Ade
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1609

Abstract

The case of drop out at the Weleri STEKOM is often done by the campus. Drop out is a problem that is often done by Weleri STEKOM students because of a GPA of less than 2, Number of organizations followed, Tuition not paid for students and student who have exceeded the limit of 14 semesters. This study discusses predicting drop out students with C4.5 and ID3 decision tree methods that are useful to assist the campus in anticipating student dropouts. This study uses student data as many as 1087 students. Student data is divided into training data and testing data in order to obtain a model or rule in predicting DO students. Variable of this reseach contain V1(GPA) and then V2 (Distance beetween home and campus), V3(how long the lecture has been done), V4(Having a Job), V5(Family) and V6(school fee). This   research  The results of this study obtained 18 rules or rules for ID3 algorithm and 8 rules for C4.5 algorithm. The algorithm ID3 test results obtained an average of 95.17%, precision of 94.7% and recall of 96.18%, while for Decision Tree C 4.5 obtained an average of 96.45%, precision of 96.90% and recall of 95.38. This research prove that Decision using C4.5 is better for prediction of drop out students at STEKOM.
PEMANFAATAN SOCIAL NETWORK ANALYSIS (SNA) UNTUK MENGANALISIS KOLABORASI KARYAWAN PADA PT. ARUM MANDIRI GROUP Kurniawan, Dendy; Iriani, Ade; Manongga, Danny
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1646

Abstract

Pertumbuhan industri di Kendal Jawa Tengah membuat PT. Arum Mandiri Group mencoba meningkatkan unit bisnisnya dengan mengoptimalkan SDM nya. Peningkatan SDM perusahaan salah satunya dengan kolaborasi komunikasi antara karyawan dan pimpinan. Penelitian ini mencoba untuk mengidentifikasi kolaborasi jaringan komunikasi karyawan dalam perusahaan dengan menggunakan metode Social Network Analysis (SNA). Berdasarkan analisa diperoleh hasil tingkat density sebesar 14,9% yang dianggap memiliki ikatan lemah karena dibawah 50%. Individu nomor 31 memiliki degree centrality tertinggi dengan nilai outdegree 15 dan indegree 10, sedangkan individu nomor 25 yang memiliki closeness centrality tertinggi dengan nilai inCloseness 50.602 dan nilai outCloseness 27,815. Individu nomor 25 juga memiliki betweenness centrality tertinggi dengan nilai Betweenness 743.194dan nBetweenness 43.159. Dapat disimpulkan dalam penelitian ini terdapat kolaborasi dalam jaringan sosial dari masing-masing individu yang terbagi dalam tiga divisi kerja dan tergambarkan dalam bentuk sociogram.  Industrial growth in Kendal, Central Java made PT. Arum Mandiri Group is trying to improve its business units by optimizing its human resources. One of the improvements in corporate HR is through collaborative communication between employees and leaders. This study tries to identify employee communication network collaboration within a company by using the Social Network Analysis (SNA) method. The result of this research are density level of 14.9% which is considered to have a weak bond because under 50%. Individual number 31 has the highest of degree centrality with an outdegree value of 15 and indegree of 10, while individual number 25 has the highest closeness centrality with value inCloseness 50.602 and outCloseness value 27.815. Individual number 25 also has the highest centrality betweenness with a value of Betweenness 743,194 and nBetweenness 43,159. It can be concluded in this study there is collaboration in the social network of each individual which is divided into three work divisions and described in the form of a sociogram.
Sistem Pendukung Keputusan Penerima Bantuan Pangan Non Tunai Dengan Metode Hybrid AHP- SAW Arianto, Satria Rizki; Siswanti, Sri; Saptomo, Wawan Laksito Yuly
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1733

Abstract

Food Aid Non-Cash given to the family of Beneficiaries. The current Non-Cash Food Assistance System still has many obstacles, such as the proposed citizen data directly entering the Poor Citizen data, some residents are quite capable of receiving help and there is no method to decide acceptance criteria. The research aim is the use of the Analytical Hierarchy Process and Simple Additive Weighting methods used in supporting the decision to decide the receipt of non-cash food aid. Analytical Hierarchy Process method to decide the weight and Simple Additive Weighting to decide the ranking of each alternative.  In this research Author using Mc Call testing with the overall results of  the assessment of  respondents with an average of 3.3 with a percentage of 82.5% categorized as Very Good. In this study the authors succeeded in applying the Analytical Hierarchy Process and Simple Additive Weighting methods for the food aid recipient process. The result of this research successfully implemented application for the choice of recipients of food help at the  makamhaji  village
Decision Support System for Tuition Fee Deduction using Simple Additive Weighting sagala, Novi Ms.
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1409

Abstract

One of tools to get attention from student candidates was offered by UKRIDA was scholarship. Scholarship offered by UKRIDA for student candidates were tuition fee deduction and were implemented selectively according to the rules. The decision support system was built using SAW method as a simple and efficient method. The tuition fee deductions comprised of three types namely: National Exam score, school report card score and courses score (mathematics and English only). The weights for each criteria and sub-criteria was determined by applied provision in university. The result of the system was the number of deduction for each student candidate based on the major.
Analisis Kinerja Algoritma Support Vector Machine (SVM) Guna Pengambilan Keputusan Beli/Jual Pada Saham PT Elnusa Tbk. (ELSA) Nida, Elfa Aufa
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1649

Abstract

Stock is one of investing method that can improve the economy. Remote trading is one of the most popular trading method. Remote trading requires prediction of stock transaction signals to make it easier for traders to make decisions. Technical analysis is made easy with various indicators in analyzing stock price chart movements, such as Bollinger Bands, Pivot Point, MACD, Stochastic, ADX, and CCI, and then combined with Support Vector Machine (SVM) algorithm to classify sell/buy/hold classes, so we can obtain a pattern that is useful for predicting stock transaction signal decisions. The study was using WEKA software by analyzing the combination of indicators with the SVM algorithm where the object is historical data stocks of PT Elnusa Tbk. (ELSA). The highest profit obtained from this study is 28,02% which is the best model of the results of the data that is trained using non-aggressive sub sectors data using exponent value 2.
Temperature and Humidity Monitoring Using DHT22 Sensor and Cayenne API Adhiwibowo, Whisnumurti; Daru, April Firman; Hirzan, Alauddin Maulana
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1820

Abstract

Internet of Thing is a new technology which enables small processing-capable devices to capture or retrieve information from a sensor and send the data to the central computer. This technology is useful for any sector especially agriculture, IoT can be used as monitoring or/and controlling the condition inside the cultivation. There are many kinds of agriculture cultivations, some of them have strict conditions due to the growth requirements. Oyster mushroom cultivation is one of many cultivations which requires strict temperature and humidity needed by oyster mushroom to growth optimal. The temperature inside the cultivation must be within 25 °C until 30 °C and humidity within 70% RH until 90% RH. Due to these strict requirements, the farmers required to check their cultivations every day and manually maintain the temperature and humidity, and this situation becomes a problem when the farmers own many cultivations. Hence, this research has a purpose to design an automatic monitoring system based on Internet of Things technology which utilizing the DHT22 sensor and Cayenne API as information retrieval medium to the computer. When using this device, the farmers can check their cultivation in the meantime without going inside the cultivation. This device will connect to the internet through wireless connectivity and send the captured information by the sensor to the farmers. The stored data from the cultivation can be exported as a CSV format if the farmers want to check the temperature and humidity statistic. The retrieved information from the sensor also displayed on the LCD attached to the device to ease the information reading near the cultivation.
Sistem Rekomendasi Pemilihan Smartphone Android Dengan Dana Terbatas Menggunakan Modified Simple Additive Weighting (M-SAW) Wicaksono, Adityo Putro
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1561

Abstract

With the development of communication technology today, the smartphone is one of the choices on communication tools that many users have now. Even now, smartphones have various types and prices that reach user needs, so that with limited funds, they can adjust it to their needs. By creating a smartphone selection recommendation systems, it can make it easier for people in determining smartphone purchases based on available funds, with features, brands, and advantages that are already sophisticated today. The recommendation system is made using a combined method called Modified Simple Additive Weighting (M-SAW), where Simple Additive Weighting (SAW) is used for weighting and normalization process, meanwhile Weighted Product (WP) is used for fixing the weight of criteria, determinating vector S, and ranking process. The result for best recommendation using this method is Oppo F5 Youth with score 0,444. With this recommendation results, makes the user make their decision for smartphone recommendation using this system.

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